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Description Limbic’s vision is to ensure the highest quality therapy is accessible to everyone, everywhere. The way we do that is by deploying AI responsibly, using it to augment clinical...

About Tala Tala is AI-native credit infrastructure for the global majority, combining proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale....

Senior DevOps Engineer - browser CI/CD + AWSRemote - Anywhere (American timezones preferred)About BraveBrave is on a mission to protect the human right to privacy online.

THE COMPANY

Careerminds is a leader in career transition and coaching solutions, helping organizations support employees through change while enabling workforce growth and development. Our product portfolio includes market-leading Career Transition and Coaching Services as well as Progression, our application for Career Frameworks and progression planning.

THE ROLE

We’re growing our machine learning team. We’re looking for Machine Learning Engineers who own products end to end — from the problem, to production, to the metric that proves it worked.

This role exists because of how we build. A small product strategy team sets direction and priorities; engineers own the work end to end — discovery, design, build, ship, and the result. You’ll have the autonomy of a founder inside your domain and the accountability that comes with it.

That accountability includes the unglamorous half of ML. You own the experiment that doesn’t pan out and the call to kill it, not just the launch. We’d rather you run four honest experiments and ship the one that works than ship four things that all look fine on a dashboard.

AI-native development isn’t an aspiration here — it’s the baseline. Our engineers ship with Claude Code and Claude Design as their default tools, and the leverage that creates is why one engineer can own a product end to end.

We want people already working this way who want to push the ceiling higher, not people who are curious about AI. In the interview we’ll ask you to show us the trail: repos, PRs, or shipped work you built this way.

This is a 100% remote/work-from-home role.

THE KEY RESPONSIBILITIES

Depending on area of focus:

Canonical data and entity resolution

• Canonical datasets for titles, companies, skills, and industries — the layer every application depends on. Content-addressed IDs, faceted taxonomies, alias graphs accumulated across tens of millions of rows.
• Rules-based resolution pipelines with LLM escalation, where the accumulated alias graph is the durable asset and escalation volume should fall over time.
• Nightly agent loops that adjudicate ambiguous entities, propose structural changes, and get gated by invariant checks and blast-radius limits before anything commits.
• Job ingestion at scale: multi-source feeds, deduplication, freshness, and the indexing economics underneath.

Retrieval, ranking, and matching

• Job matching v2: two-tower retrieval with cross-encoder reranking, trained on outcome labels rather than clicks. Hard-negative mining, propensity weighting, impression-time logging.
• Mobility embeddings learned from observed career sequences — the similarity a text encoder can’t recover, where Claims Adjuster and Underwriting Assistant are substitutable despite sharing no vocabulary.
• Pivot feasibility: given where someone is, what moves are realistic, what’s missing, and which intermediate roles actually worked for peers.

Applied LLMs and agents

• Fine-tuning where it earns its cost — against outcome labels, not for tasks a well-prompted frontier model already handles.
• Agentic systems in production with human approval gates: agents that analyze, propose changes as reviewable artifacts, and execute only after a human signs off. We have this pattern running against tens of millions of customer touchpoints a year and want to push it much further.
• Continuous skills inference from work artifacts rather than static documents — a problem several of our enterprise customers are currently solving for themselves, badly.
• New product surfaces where the right answer genuinely requires an LLM, and the discipline to notice when it doesn’t.

Across all of it

• Evaluation infrastructure you’d defend in a design review: time-forward splits, calibration, offline-to-online agreement, and honest handling of feedback-loop degeneration and survivorship bias.
• Building inside real constraints: GDPR, EU AI Act high-risk classification for employment AI, and client data commitments are design inputs here, not someone else’s problem.

THE MUST-HAVES

• 5+ years shipping ML systems into production — and you can name the system, the metric before and after, and how you knew the model caused the change.
• Depth in both classical ML and deep learning (PyTorch or TensorFlow) applied to live products, not notebooks and Kaggle sets.
• Working fluency with LLMs in production — retrieval, evals, prompt and context engineering, and the judgment to recognize when an LLM is the wrong tool.
• You already ship with agentic coding tools — Claude Code, Claude Design, or close equivalents — and can point to work you built with them.
• Software engineering fundamentals strong enough to own your own deploys — Python, Git, cloud (we run AWS), containers, and the patience for genuinely messy, human-authored, self-reported data.

THE NICE-TO-HAVES

• Entity resolution, record linkage, or taxonomy design at scale
• Ranking, recommendation, or two-tower retrieval systems
• Sequence models on longitudinal or event-stream data
• Embedding and vector retrieval systems in production
• Experiment design, causal inference, or off-policy evaluation
• Warehouse-native ML (dbt, Snowflake, or similar)
• Labor market, HR tech, or people-data domain experience
• Open-source contributions or publications

At Careerminds, we believe that diversity in thought and cultural background leads to better teams and stronger companies. We seek talented, qualified employees, regardless of race, color, sex/gender (including pregnancy, gender identity, and gender expression), national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. Careerminds is proud to be an Equal Employment Opportunity Employer.

Come join our team. Together, we’ll help others tell their career stories and land their dream jobs.

About Neo4j:

Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter.

Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business.

Our Vision:

At Neo4j, we have always strived to help the world make sense of data.

As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.

Job Description:

As a Senior Consulting Engineer, you will be responsible for leading and executing complex consulting projects for our clients. You will work closely with clients to understand their business needs, design innovative solutions, and provide technical expertise across a range of technologies.

Key Responsibilities:

• Lead and manage consulting projects from inception to completion, ensuring successful delivery and client satisfaction.
• Collaborate with clients to understand their business goals, technical requirements, and challenges.
• Conduct in-depth technical assessments and analysis to identify opportunities for improvement and optimization.
• Design and architect innovative solutions to address client needs, utilizing a range of technologies and platforms.
• Provide hands-on implementation, configuration, and troubleshooting support for client projects.
• Mentor and provide guidance to junior consulting engineers within the team.
• Collaborate with cross-functional teams, including sales, product development, and customer success, to ensure a seamless client experience.
• Stay informed about industry trends and emerging technologies to provide proactive recommendations to clients.
• Develop and deliver technical training sessions and workshops for clients.
• Create and maintain technical documentation, including project plans, architecture diagrams, and implementation guides.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s degree is a plus).
• Proven experience as a Consulting Engineer or in a similar role, with a track record of successful project delivery.
• Strong understanding of a variety of technologies, including networking, security, cloud, and infrastructure.
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
• Hands-on experience with implementation, configuration, and troubleshooting in client environments.
• Strong problem-solving skills and the ability to think strategically about technical solutions.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong organizational and project management skills.
• Willingness to travel to client sites as needed.

Why Join Neo4j?

Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.

• Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.
• Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history.
• 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.
• Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success.
• Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform.
• A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.

Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.

One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application.

Neo4j Values:

Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values:

(we)-[:VALUE]->(relationships)

(we)-[:FOCUS_ON]->(userSuccess)

(we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]})

(we)-[:ASSUME]->(:Intent {direction:’Positive’})

(we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’})

(we)-[:DELIVER_ON]->(ourCommitments)

Neo4j is committed to protecting and respecting your privacy. Please read theprivacy notice regarding Neo4j’s recruitment process to understand how we will handle the personal data that you provide.

More information atwww.neo4j.com.

©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Join our expanding engineering team! We’re actively recruiting a Senior Backend Engineer to help scale M-KOPA Mobility, our fast-growing e-mobility business. This is an initial 12-month Fixed Term Contract, with the potential to extend or transition into a permanent role. Build the event-driven microservices that power clean, affordable transport for riders and entrepreneurs across Africa.

The Impact – Africa’s transport sector is massive, underserved, and at an inflection point, and the transition to electric is accelerating, led by East Africa. Your code will directly power the technology behind Kenya’s leading e-mobility financing platform. We’ve already financed over 11,000 electric motorbikes, helping riders save more than $3 a day and cutting air pollution by 90%. It’s your chance to build tech for a business that’s literally transforming lives across an entire continent 🌍

The Opportunity

🎯 Mission-driven engineering: Every service you build helps put clean transport within reach of riders who’d otherwise be locked out of ownership

🏆 Global recognition: Join a company named by the Financial Times as one of Africa’s fastest-growing companies for 5 consecutive years running (2022–2026)

🚀 Scale challenges: Build backend systems for a business growing at 3x year-on-year, with over 11,000 e-motorbikes financed and demand climbing

🌱 Real climate impact: Electric is simply better for drivers, cities, and the planet — our e-motorbikes cut air pollution by 90% versus petrol equivalents

What You’ll Do

At M-KOPA, you’ll build sophisticated event-driven microservices with real-world impact. Our engineering teams own their solutions end-to-end – from architecture decisions to production monitoring. Join us in combining cutting-edge .NET development with purpose-driven engineering that makes digital and financial inclusion possible across Africa.

Technical Environment 💻

• Languages & frameworks: C#/.NET

• Cloud: We work in Azure, and welcome experience across AWS or GCP

• Architecture: Event-driven systems and microservice development – we use Service Bus, and welcome experience with similar messaging technologies such as Kafka or RabbitMQ

• Infrastructure: Kubernetes, Docker

• Observability: Prometheus, Grafana

• Engineering culture: DevOps, infrastructure as code, automated testing across all environments including production, continuous delivery

• AI tooling: We use AI coding tools including Claude Code as part of our engineering workflow

Our Engineering Approach 🚀

As an engineer, you will work as a collaborator. More senior members will coach and contribute, placing an emphasis on:

• High quality output

• Observability and monitoring

• Automated testing in all environments, including production

• Infrastructure as code and DevOps practices

What You Need

We expect you to be comfortable working as part of a team which owns the entire software stack, including supporting infrastructure, throughout the entire software lifecycle, from inception through production to decommissioning under a DevOps culture. You’ll value the constraints that continuous delivery places upon engineering processes and embrace testing and observability as first-order concerns in development.

Required Experience:

• Strong grasp of C# .NET development

• Experience with event-driven systems – Service Bus or similar messaging technologies such as Kafka or RabbitMQ

• Microservices architecture experience

• Experience with Azure, or other major cloud providers such as AWS or GCP

• Familiarity with containerisation and orchestration tools (Kubernetes, Docker)

• Experience with observability tools such as Prometheus and Grafana

• Testing and deployment expertise

• DevOps culture mindset

• Experience working with AI coding tools, ideally Claude Code or similar

Location & Benefits

• Initial 12-month Fixed Term Contract, with potential to extend or transition into a permanent role

• Fully remote role within UTC -1 to UTC +3 time zones

• Work with diverse teams across UK, Europe, and Africa

• Professional development programs and coaching partnerships

• Family-friendly policies and flexible working arrangements

• Well-being support and career growth opportunities

Our Mission 🌍 We create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model, with M-KOPA Mobility extending that same model to clean transport. We strive to drive greater inclusion of women, youth, and low-income communities.

Our Impact 💚

• Connected 📱: 6 million smartphone customers, 2.5 million first-time smartphone users

• Prosperous 💰: 70% of customers use their M-KOPA product for income generation, with 35,000+ livelihoods created for agents

• Green 🌱: 11,000+ e-motorbikes financed, growing 3x year-on-year, cutting air pollution by 90% and helping riders save more than $3 a day

Ready to build C# .NET solutions that put clean, affordable transport within reach of Every Day Earners, while advancing your career in modern backend engineering?

At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritise well-being, and embrace flexibility.

Apply now to join our mission of transforming lives across Africa through technology.

Why M-KOPA?

At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.

Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com.

Recognized four times by the Financial Times as one Africa’s fastest growing companies (2022, 2023, 2024, 2025 and 2026), named on CNBC’s World’s Top Fintech Companies 2025 & 2026 and by TIME100 Most influential companies in the world 2023 and 2024 , we’ve served over 10 million customers, unlocking $2 billion in cumulative credit for the everyday earners across Africa, in addition to over 10,000 e-bikes financed in Kenya.

Important Notice

M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.

M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships.

M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for ‘recruitment fees’, ‘processing fees’, ‘interview fees’, or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.

Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.

If your application is successful M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include; criminal records, identification verification, academic qualifications, employment dates and employer references.

Join our expanding engineering team! We’re actively recruiting a Senior Backend Engineer to help scale M-KOPA Mobility, our fast-growing e-mobility business. This is an initial 12-month Fixed Term Contract, with the potential to extend or transition into a permanent role. Build the event-driven microservices that power clean, affordable transport for riders and entrepreneurs across Africa.

The Impact – Africa’s transport sector is massive, underserved, and at an inflection point, and the transition to electric is accelerating, led by East Africa. Your code will directly power the technology behind Kenya’s leading e-mobility financing platform. We’ve already financed over 11,000 electric motorbikes, helping riders save more than $3 a day and cutting air pollution by 90%. It’s your chance to build tech for a business that’s literally transforming lives across an entire continent 🌍

The Opportunity

🎯 Mission-driven engineering: Every service you build helps put clean transport within reach of riders who’d otherwise be locked out of ownership

🏆 Global recognition: Join a company named by the Financial Times as one of Africa’s fastest-growing companies for 5 consecutive years running (2022–2026)

🚀 Scale challenges: Build backend systems for a business growing at 3x year-on-year, with over 11,000 e-motorbikes financed and demand climbing

🌱 Real climate impact: Electric is simply better for drivers, cities, and the planet — our e-motorbikes cut air pollution by 90% versus petrol equivalents

What You’ll Do

At M-KOPA, you’ll build sophisticated event-driven microservices with real-world impact. Our engineering teams own their solutions end-to-end – from architecture decisions to production monitoring. Join us in combining cutting-edge .NET development with purpose-driven engineering that makes digital and financial inclusion possible across Africa.

Technical Environment 💻

• Languages & frameworks: C#/.NET

• Cloud: We work in Azure, and welcome experience across AWS or GCP

• Architecture: Event-driven systems and microservice development – we use Service Bus, and welcome experience with similar messaging technologies such as Kafka or RabbitMQ

• Infrastructure: Kubernetes, Docker

• Observability: Prometheus, Grafana

• Engineering culture: DevOps, infrastructure as code, automated testing across all environments including production, continuous delivery

• AI tooling: We use AI coding tools including Claude Code as part of our engineering workflow

Our Engineering Approach 🚀

As an engineer, you will work as a collaborator. More senior members will coach and contribute, placing an emphasis on:

• High quality output

• Observability and monitoring

• Automated testing in all environments, including production

• Infrastructure as code and DevOps practices

What You Need

We expect you to be comfortable working as part of a team which owns the entire software stack, including supporting infrastructure, throughout the entire software lifecycle, from inception through production to decommissioning under a DevOps culture. You’ll value the constraints that continuous delivery places upon engineering processes and embrace testing and observability as first-order concerns in development.

Required Experience:

• Strong grasp of C# .NET development

• Experience with event-driven systems – Service Bus or similar messaging technologies such as Kafka or RabbitMQ

• Microservices architecture experience

• Experience with Azure, or other major cloud providers such as AWS or GCP

• Familiarity with containerisation and orchestration tools (Kubernetes, Docker)

• Experience with observability tools such as Prometheus and Grafana

• Testing and deployment expertise

• DevOps culture mindset

• Experience working with AI coding tools, ideally Claude Code or similar

Location & Benefits

• Initial 12-month Fixed Term Contract, with potential to extend or transition into a permanent role

• Fully remote role within UTC -1 to UTC +3 time zones

• Work with diverse teams across UK, Europe, and Africa

• Professional development programs and coaching partnerships

• Family-friendly policies and flexible working arrangements

• Well-being support and career growth opportunities

Our Mission 🌍 We create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model, with M-KOPA Mobility extending that same model to clean transport. We strive to drive greater inclusion of women, youth, and low-income communities.

Our Impact 💚

• Connected 📱: 6 million smartphone customers, 2.5 million first-time smartphone users

• Prosperous 💰: 70% of customers use their M-KOPA product for income generation, with 35,000+ livelihoods created for agents

• Green 🌱: 11,000+ e-motorbikes financed, growing 3x year-on-year, cutting air pollution by 90% and helping riders save more than $3 a day

Ready to build C# .NET solutions that put clean, affordable transport within reach of Every Day Earners, while advancing your career in modern backend engineering?

At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritise well-being, and embrace flexibility.

Apply now to join our mission of transforming lives across Africa through technology.

Why M-KOPA?

At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.

Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com.

Recognized four times by the Financial Times as one Africa’s fastest growing companies (2022, 2023, 2024, 2025 and 2026), named on CNBC’s World’s Top Fintech Companies 2025 & 2026 and by TIME100 Most influential companies in the world 2023 and 2024 , we’ve served over 10 million customers, unlocking $2 billion in cumulative credit for the everyday earners across Africa, in addition to over 10,000 e-bikes financed in Kenya.

Important Notice

M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.

M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships.

M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for ‘recruitment fees’, ‘processing fees’, ‘interview fees’, or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.

Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.

If your application is successful M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include; criminal records, identification verification, academic qualifications, employment dates and employer references.

CSQ227R258

As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.

Location: San Francisco Bay Area Preferred

This role is San Francisco Bay Area-focused. We’re looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team.

The impact you will have:

• Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
• Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
• Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers’ successful understanding, evaluation and adoption of Databricks.
• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer’s needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering
• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps, ML/AI models and AI APIs
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$182,000—$250,208 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ227R258

As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.

Location: San Francisco Bay Area Preferred

This role is San Francisco Bay Area-focused. We’re looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team.

The impact you will have:

• Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
• Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
• Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers’ successful understanding, evaluation and adoption of Databricks.
• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer’s needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering
• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps, ML/AI models and AI APIs
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$182,000—$250,208 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Company Description

👋🏼We’re Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!

Job Description

REQUIREMENTS:

• Total experience 8+ years.
• Deep understanding of LLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers)
• Should have expert-level prompt engineering skills and proven experience implementing RAG patterns
• High proficiency in Python and standard AI/ML libraries (e.g., LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, PyTorch/TensorFlow).
• Experience implementing RAG architectures and prompt engineering.
• Strong experience with fine-tuning and distillation techniques and evaluation.
• Strong experience using managed AI/ML services on the target cloud platform (e.g., Azure Machine Learning Studio, AI Foundry).
• Strong understanding of vector databases (e.g., Weaviate, Neo4j)
• understanding of GenAI evaluation metrics (e.g., BLEU, ROUGE, perplexity, semantic similarity, human evaluation).
• Architect and implement scalable GenAI and Agentic AI solutions end-to-end.
• Should be able to write high-quality, production-ready Python code with strong testing and maintainability practices.
• Should be able to productionize AI systems on Azure or AWS, ensuring enterprise-grade reliability and performance.
• Should be able to build and expose APIs using FastAPI, integrating with databases through an ORM.
• Should be able to scale GenAI solutions to support enterprise workloads.
• Collaborate across product and engineering teams to convert business needs into AI-driven solutions.
• Strong ability to both architect and code GenAI/Agentic AI solutions.
• Proven production experience with GenAI deployments on Azure or AWS.
• Strong experience in scaling AI solutions in live environments.
• Very strong Python programming skills with a track record of clean, efficient, and maintainable code.
• Should have successfully delivered at least one production GenAI/Agentic AI solution.
• Must have proficiency with FastAPI and at least one ORM (e.g., SQLAlchemy, Tortoise ORM).
• Should have familiarity with Model Context Protocol (MCP).
• Should have contributions to open-source GenAI projects.
• Good to have experience with React (or some other JS frameworks) for building user-facing interfaces and front-end integrations
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation.
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
• Understanding and relating technology integration scenarios and applying these learnings in projects.
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description

👋🏼We’re Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!

Job Description

REQUIREMENTS:

• Total experience 8+ years.
• Deep understanding of LLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers)
• Should have expert-level prompt engineering skills and proven experience implementing RAG patterns
• High proficiency in Python and standard AI/ML libraries (e.g., LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, PyTorch/TensorFlow).
• Experience implementing RAG architectures and prompt engineering.
• Strong experience with fine-tuning and distillation techniques and evaluation.
• Strong experience using managed AI/ML services on the target cloud platform (e.g., Azure Machine Learning Studio, AI Foundry).
• Strong understanding of vector databases (e.g., Weaviate, Neo4j)
• understanding of GenAI evaluation metrics (e.g., BLEU, ROUGE, perplexity, semantic similarity, human evaluation).
• Architect and implement scalable GenAI and Agentic AI solutions end-to-end.
• Should be able to write high-quality, production-ready Python code with strong testing and maintainability practices.
• Should be able to productionize AI systems on Azure or AWS, ensuring enterprise-grade reliability and performance.
• Should be able to build and expose APIs using FastAPI, integrating with databases through an ORM.
• Should be able to scale GenAI solutions to support enterprise workloads.
• Collaborate across product and engineering teams to convert business needs into AI-driven solutions.
• Strong ability to both architect and code GenAI/Agentic AI solutions.
• Proven production experience with GenAI deployments on Azure or AWS.
• Strong experience in scaling AI solutions in live environments.
• Very strong Python programming skills with a track record of clean, efficient, and maintainable code.
• Should have successfully delivered at least one production GenAI/Agentic AI solution.
• Must have proficiency with FastAPI and at least one ORM (e.g., SQLAlchemy, Tortoise ORM).
• Should have familiarity with Model Context Protocol (MCP).
• Should have contributions to open-source GenAI projects.
• Good to have experience with React (or some other JS frameworks) for building user-facing interfaces and front-end integrations
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation.
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
• Understanding and relating technology integration scenarios and applying these learnings in projects.
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description

👋🏼We’re Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!

Job Description

REQUIREMENTS:

• Total experience: 6+ years.
• Deep understanding of LLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers)
• Should have expert-level prompt engineering skills and proven experience implementing RAG patterns
• High proficiency in Python and standard AI/ML libraries (e.g., LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, PyTorch/TensorFlow).
• Experience implementing RAG architectures and prompt engineering.
• Strong experience with fine-tuning and distillation techniques and evaluation.
• Strong experience using managed AI/ML services on the target cloud platform (e.g., Azure Machine Learning Studio, AI Foundry).
• Strong understanding of vector databases (e.g., Weaviate, Neo4j)
• understanding of GenAI evaluation metrics (e.g., BLEU, ROUGE, perplexity, semantic similarity, human evaluation).
• Architect and implement scalable GenAI and Agentic AI solutions end-to-end.
• Should be able to write high-quality, production-ready Python code with strong testing and maintainability practices.
• Should be able to productionize AI systems on Azure or AWS, ensuring enterprise-grade reliability and performance.
• Should be able to build and expose APIs using FastAPI, integrating with databases through an ORM.
• Should be able to scale GenAI solutions to support enterprise workloads.
• Collaborate across product and engineering teams to convert business needs into AI-driven solutions.
• Strong ability to both architect and code GenAI/Agentic AI solutions.
• Proven production experience with GenAI deployments on Azure or AWS.
• Strong experience in scaling AI solutions in live environments.
• Very strong Python programming skills with a track record of clean, efficient, and maintainable code.
• Should have successfully delivered at least one production GenAI/Agentic AI solution.
• Must have proficiency with FastAPI and at least one ORM (e.g., SQLAlchemy, Tortoise ORM).
• Should have familiarity with Model Context Protocol (MCP).
• Should have contributions to open-source GenAI projects.
• Good to have experience with React (or some other JS frameworks) for building user-facing interfaces and front-end integrations
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation.
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
• Understanding and relating technology integration scenarios and applying these learnings in projects.
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description

👋🏼We’re Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!

Job Description

REQUIREMENTS:

• Total experience 8+ years.
• Deep understanding of LLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers)
• Should have expert-level prompt engineering skills and proven experience implementing RAG patterns
• High proficiency in Python and standard AI/ML libraries (e.g., LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, PyTorch/TensorFlow).
• Experience implementing RAG architectures and prompt engineering.
• Strong experience with fine-tuning and distillation techniques and evaluation.
• Strong experience using managed AI/ML services on the target cloud platform (e.g., Azure Machine Learning Studio, AI Foundry).
• Strong understanding of vector databases (e.g., Weaviate, Neo4j)
• understanding of GenAI evaluation metrics (e.g., BLEU, ROUGE, perplexity, semantic similarity, human evaluation).
• Architect and implement scalable GenAI and Agentic AI solutions end-to-end.
• Should be able to write high-quality, production-ready Python code with strong testing and maintainability practices.
• Should be able to productionize AI systems on Azure or AWS, ensuring enterprise-grade reliability and performance.
• Should be able to build and expose APIs using FastAPI, integrating with databases through an ORM.
• Should be able to scale GenAI solutions to support enterprise workloads.
• Collaborate across product and engineering teams to convert business needs into AI-driven solutions.
• Strong ability to both architect and code GenAI/Agentic AI solutions.
• Proven production experience with GenAI deployments on Azure or AWS.
• Strong experience in scaling AI solutions in live environments.
• Very strong Python programming skills with a track record of clean, efficient, and maintainable code.
• Should have successfully delivered at least one production GenAI/Agentic AI solution.
• Must have proficiency with FastAPI and at least one ORM (e.g., SQLAlchemy, Tortoise ORM).
• Should have familiarity with Model Context Protocol (MCP).
• Should have contributions to open-source GenAI projects.
• Good to have experience with React (or some other JS frameworks) for building user-facing interfaces and front-end integrations
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation.
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
• Understanding and relating technology integration scenarios and applying these learnings in projects.
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description

👋🏼We’re Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!

Job Description

REQUIREMENTS:

• Total experience 8+ years.
• Deep understanding of LLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers)
• Should have expert-level prompt engineering skills and proven experience implementing RAG patterns
• High proficiency in Python and standard AI/ML libraries (e.g., LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, PyTorch/TensorFlow).
• Experience implementing RAG architectures and prompt engineering.
• Strong experience with fine-tuning and distillation techniques and evaluation.
• Strong experience using managed AI/ML services on the target cloud platform (e.g., Azure Machine Learning Studio, AI Foundry).
• Strong understanding of vector databases (e.g., Weaviate, Neo4j).
• Should be proficient in building complex Deep Learning and GENAI pipelines.
• Should have experience with computer vision/Deep Learning/NLP and GENAI domain tech stacks.
• understanding of GenAI evaluation metrics (e.g., BLEU, ROUGE, perplexity, semantic similarity, human evaluation).
• Architect and implement scalable GenAI and Agentic AI solutions end-to-end.
• Should be able to write high-quality, production-ready Python code with strong testing and maintainability practices.
• Should be able to productionize AI systems on Azure or AWS, ensuring enterprise-grade reliability and performance.
• Should be able to build and expose APIs using FastAPI, integrating with databases through an ORM.
• Should be able to scale GenAI solutions to support enterprise workloads.
• Collaborate across product and engineering teams to convert business needs into AI-driven solutions.
• Strong ability to both architect and code GenAI/Agentic AI solutions.
• Proven production experience with GenAI deployments on Azure.
• Strong experience in scaling AI solutions in live environments.
• Very strong Python programming skills with a track record of clean, efficient, and maintainable code.
• Should have successfully delivered at least one production GenAI/Agentic AI solution.
• Must have proficiency with FastAPI and at least one ORM (e.g., SQLAlchemy, Tortoise ORM).
• Should have familiarity with Model Context Protocol (MCP).
• Should have contributions to open-source GenAI projects.
• Good to have experience with React (or some other JS frameworks) for building user-facing interfaces and front-end integrations
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation.
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
• Understanding and relating technology integration scenarios and applying these learnings in projects.
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description

👋🏼We’re Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!

Job Description

REQUIREMENTS:

• Total experience: 6+ years.
• Deep understanding of LLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers)
• Should have expert-level prompt engineering skills and proven experience implementing RAG patterns
• High proficiency in Python and standard AI/ML libraries (e.g., LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, PyTorch/TensorFlow).
• Experience implementing RAG architectures and prompt engineering.
• Strong experience with fine-tuning and distillation techniques and evaluation.
• Strong experience using managed AI/ML services on the target cloud platform (e.g., Azure Machine Learning Studio, AI Foundry).
• Strong understanding of vector databases (e.g., Weaviate, Neo4j)
• understanding of GenAI evaluation metrics (e.g., BLEU, ROUGE, perplexity, semantic similarity, human evaluation).
• Architect and implement scalable GenAI and Agentic AI solutions end-to-end.
• Should be able to write high-quality, production-ready Python code with strong testing and maintainability practices.
• Should be able to productionize AI systems on Azure or AWS, ensuring enterprise-grade reliability and performance.
• Should be able to build and expose APIs using FastAPI, integrating with databases through an ORM.
• Should be able to scale GenAI solutions to support enterprise workloads.
• Collaborate across product and engineering teams to convert business needs into AI-driven solutions.
• Strong ability to both architect and code GenAI/Agentic AI solutions.
• Proven production experience with GenAI deployments on Azure or AWS.
• Strong experience in scaling AI solutions in live environments.
• Very strong Python programming skills with a track record of clean, efficient, and maintainable code.
• Should have successfully delivered at least one production GenAI/Agentic AI solution.
• Must have proficiency with FastAPI and at least one ORM (e.g., SQLAlchemy, Tortoise ORM).
• Should have familiarity with Model Context Protocol (MCP).
• Should have contributions to open-source GenAI projects.
• Good to have experience with React (or some other JS frameworks) for building user-facing interfaces and front-end integrations
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation.
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
• Understanding and relating technology integration scenarios and applying these learnings in projects.
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

About Neo4j:

Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter.

Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business.

Our Vision:

At Neo4j, we have always strived to help the world make sense of data.

As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.

Job Description:

As a Senior Consulting Engineer, you will be responsible for leading and executing complex consulting projects for our clients. You will work closely with clients to understand their business needs, design innovative solutions, and provide technical expertise across a range of technologies.

Key Responsibilities:

• Lead and manage consulting projects from inception to completion, ensuring successful delivery and client satisfaction.
• Collaborate with clients to understand their business goals, technical requirements, and challenges.
• Conduct in-depth technical assessments and analysis to identify opportunities for improvement and optimization.
• Design and architect innovative solutions to address client needs, utilizing a range of technologies and platforms.
• Provide hands-on implementation, configuration, and troubleshooting support for client projects.
• Mentor and provide guidance to junior consulting engineers within the team.
• Collaborate with cross-functional teams, including sales, product development, and customer success, to ensure a seamless client experience.
• Stay informed about industry trends and emerging technologies to provide proactive recommendations to clients.
• Develop and deliver technical training sessions and workshops for clients.
• Create and maintain technical documentation, including project plans, architecture diagrams, and implementation guides.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s degree is a plus).
• Proven experience as a Consulting Engineer or in a similar role, with a track record of successful project delivery.
• Strong understanding of a variety of technologies, including networking, security, cloud, and infrastructure.
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
• Hands-on experience with implementation, configuration, and troubleshooting in client environments.
• Strong problem-solving skills and the ability to think strategically about technical solutions.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong organizational and project management skills.
• Willingness to travel to client sites as needed.

Why Join Neo4j?

Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.

• Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.
• Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history.
• 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.
• Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success.
• Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform.
• A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.

Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.

One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application.

Neo4j Values:

Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values:

(we)-[:VALUE]->(relationships)

(we)-[:FOCUS_ON]->(userSuccess)

(we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]})

(we)-[:ASSUME]->(:Intent {direction:’Positive’})

(we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’})

(we)-[:DELIVER_ON]->(ourCommitments)

Neo4j is committed to protecting and respecting your privacy. Please read theprivacy notice regarding Neo4j’s recruitment process to understand how we will handle the personal data that you provide.

More information atwww.neo4j.com.

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Join our expanding engineering team! We’re actively recruiting a Senior Backend Engineer to help scale M-KOPA Mobility, our fast-growing e-mobility business. This is an initial 12-month Fixed Term Contract, with the potential to extend or transition into a permanent role. Build the event-driven microservices that power clean, affordable transport for riders and entrepreneurs across Africa.

The Impact – Africa’s transport sector is massive, underserved, and at an inflection point, and the transition to electric is accelerating, led by East Africa. Your code will directly power the technology behind Kenya’s leading e-mobility financing platform. We’ve already financed over 11,000 electric motorbikes, helping riders save more than $3 a day and cutting air pollution by 90%. It’s your chance to build tech for a business that’s literally transforming lives across an entire continent 🌍

The Opportunity

🎯 Mission-driven engineering: Every service you build helps put clean transport within reach of riders who’d otherwise be locked out of ownership

🏆 Global recognition: Join a company named by the Financial Times as one of Africa’s fastest-growing companies for 5 consecutive years running (2022–2026)

🚀 Scale challenges: Build backend systems for a business growing at 3x year-on-year, with over 11,000 e-motorbikes financed and demand climbing

🌱 Real climate impact: Electric is simply better for drivers, cities, and the planet — our e-motorbikes cut air pollution by 90% versus petrol equivalents

What You’ll Do

At M-KOPA, you’ll build sophisticated event-driven microservices with real-world impact. Our engineering teams own their solutions end-to-end – from architecture decisions to production monitoring. Join us in combining cutting-edge .NET development with purpose-driven engineering that makes digital and financial inclusion possible across Africa.

Technical Environment 💻

• Languages & frameworks: C#/.NET

• Cloud: We work in Azure, and welcome experience across AWS or GCP

• Architecture: Event-driven systems and microservice development – we use Service Bus, and welcome experience with similar messaging technologies such as Kafka or RabbitMQ

• Infrastructure: Kubernetes, Docker

• Observability: Prometheus, Grafana

• Engineering culture: DevOps, infrastructure as code, automated testing across all environments including production, continuous delivery

• AI tooling: We use AI coding tools including Claude Code as part of our engineering workflow

Our Engineering Approach 🚀

As an engineer, you will work as a collaborator. More senior members will coach and contribute, placing an emphasis on:

• High quality output

• Observability and monitoring

• Automated testing in all environments, including production

• Infrastructure as code and DevOps practices

What You Need

We expect you to be comfortable working as part of a team which owns the entire software stack, including supporting infrastructure, throughout the entire software lifecycle, from inception through production to decommissioning under a DevOps culture. You’ll value the constraints that continuous delivery places upon engineering processes and embrace testing and observability as first-order concerns in development.

Required Experience:

• Strong grasp of C# .NET development

• Experience with event-driven systems – Service Bus or similar messaging technologies such as Kafka or RabbitMQ

• Microservices architecture experience

• Experience with Azure, or other major cloud providers such as AWS or GCP

• Familiarity with containerisation and orchestration tools (Kubernetes, Docker)

• Experience with observability tools such as Prometheus and Grafana

• Testing and deployment expertise

• DevOps culture mindset

• Experience working with AI coding tools, ideally Claude Code or similar

Location & Benefits

• Initial 12-month Fixed Term Contract, with potential to extend or transition into a permanent role

• Fully remote role within UTC -1 to UTC +3 time zones

• Work with diverse teams across UK, Europe, and Africa

• Professional development programs and coaching partnerships

• Family-friendly policies and flexible working arrangements

• Well-being support and career growth opportunities

Our Mission 🌍 We create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model, with M-KOPA Mobility extending that same model to clean transport. We strive to drive greater inclusion of women, youth, and low-income communities.

Our Impact 💚

• Connected 📱: 6 million smartphone customers, 2.5 million first-time smartphone users

• Prosperous 💰: 70% of customers use their M-KOPA product for income generation, with 35,000+ livelihoods created for agents

• Green 🌱: 11,000+ e-motorbikes financed, growing 3x year-on-year, cutting air pollution by 90% and helping riders save more than $3 a day

Ready to build C# .NET solutions that put clean, affordable transport within reach of Every Day Earners, while advancing your career in modern backend engineering?

At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritise well-being, and embrace flexibility.

Apply now to join our mission of transforming lives across Africa through technology.

Why M-KOPA?

At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.

Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com.

Recognized four times by the Financial Times as one Africa’s fastest growing companies (2022, 2023, 2024, 2025 and 2026), named on CNBC’s World’s Top Fintech Companies 2025 & 2026 and by TIME100 Most influential companies in the world 2023 and 2024 , we’ve served over 10 million customers, unlocking $2 billion in cumulative credit for the everyday earners across Africa, in addition to over 10,000 e-bikes financed in Kenya.

Important Notice

M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.

M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships.

M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for ‘recruitment fees’, ‘processing fees’, ‘interview fees’, or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.

Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.

If your application is successful M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include; criminal records, identification verification, academic qualifications, employment dates and employer references.

Join our expanding engineering team! We’re actively recruiting a Senior Backend Engineer to help scale M-KOPA Mobility, our fast-growing e-mobility business. This is an initial 12-month Fixed Term Contract, with the potential to extend or transition into a permanent role. Build the event-driven microservices that power clean, affordable transport for riders and entrepreneurs across Africa.

The Impact – Africa’s transport sector is massive, underserved, and at an inflection point, and the transition to electric is accelerating, led by East Africa. Your code will directly power the technology behind Kenya’s leading e-mobility financing platform. We’ve already financed over 11,000 electric motorbikes, helping riders save more than $3 a day and cutting air pollution by 90%. It’s your chance to build tech for a business that’s literally transforming lives across an entire continent 🌍

The Opportunity

🎯 Mission-driven engineering: Every service you build helps put clean transport within reach of riders who’d otherwise be locked out of ownership

🏆 Global recognition: Join a company named by the Financial Times as one of Africa’s fastest-growing companies for 5 consecutive years running (2022–2026)

🚀 Scale challenges: Build backend systems for a business growing at 3x year-on-year, with over 11,000 e-motorbikes financed and demand climbing

🌱 Real climate impact: Electric is simply better for drivers, cities, and the planet — our e-motorbikes cut air pollution by 90% versus petrol equivalents

What You’ll Do

At M-KOPA, you’ll build sophisticated event-driven microservices with real-world impact. Our engineering teams own their solutions end-to-end – from architecture decisions to production monitoring. Join us in combining cutting-edge .NET development with purpose-driven engineering that makes digital and financial inclusion possible across Africa.

Technical Environment 💻

• Languages & frameworks: C#/.NET

• Cloud: We work in Azure, and welcome experience across AWS or GCP

• Architecture: Event-driven systems and microservice development – we use Service Bus, and welcome experience with similar messaging technologies such as Kafka or RabbitMQ

• Infrastructure: Kubernetes, Docker

• Observability: Prometheus, Grafana

• Engineering culture: DevOps, infrastructure as code, automated testing across all environments including production, continuous delivery

• AI tooling: We use AI coding tools including Claude Code as part of our engineering workflow

Our Engineering Approach 🚀

As an engineer, you will work as a collaborator. More senior members will coach and contribute, placing an emphasis on:

• High quality output

• Observability and monitoring

• Automated testing in all environments, including production

• Infrastructure as code and DevOps practices

What You Need

We expect you to be comfortable working as part of a team which owns the entire software stack, including supporting infrastructure, throughout the entire software lifecycle, from inception through production to decommissioning under a DevOps culture. You’ll value the constraints that continuous delivery places upon engineering processes and embrace testing and observability as first-order concerns in development.

Required Experience:

• Strong grasp of C# .NET development

• Experience with event-driven systems – Service Bus or similar messaging technologies such as Kafka or RabbitMQ

• Microservices architecture experience

• Experience with Azure, or other major cloud providers such as AWS or GCP

• Familiarity with containerisation and orchestration tools (Kubernetes, Docker)

• Experience with observability tools such as Prometheus and Grafana

• Testing and deployment expertise

• DevOps culture mindset

• Experience working with AI coding tools, ideally Claude Code or similar

Location & Benefits

• Initial 12-month Fixed Term Contract, with potential to extend or transition into a permanent role

• Fully remote role within UTC -1 to UTC +3 time zones

• Work with diverse teams across UK, Europe, and Africa

• Professional development programs and coaching partnerships

• Family-friendly policies and flexible working arrangements

• Well-being support and career growth opportunities

Our Mission 🌍 We create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model, with M-KOPA Mobility extending that same model to clean transport. We strive to drive greater inclusion of women, youth, and low-income communities.

Our Impact 💚

• Connected 📱: 6 million smartphone customers, 2.5 million first-time smartphone users

• Prosperous 💰: 70% of customers use their M-KOPA product for income generation, with 35,000+ livelihoods created for agents

• Green 🌱: 11,000+ e-motorbikes financed, growing 3x year-on-year, cutting air pollution by 90% and helping riders save more than $3 a day

Ready to build C# .NET solutions that put clean, affordable transport within reach of Every Day Earners, while advancing your career in modern backend engineering?

At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritise well-being, and embrace flexibility.

Apply now to join our mission of transforming lives across Africa through technology.

Why M-KOPA?

At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.

Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com.

Recognized four times by the Financial Times as one Africa’s fastest growing companies (2022, 2023, 2024, 2025 and 2026), named on CNBC’s World’s Top Fintech Companies 2025 & 2026 and by TIME100 Most influential companies in the world 2023 and 2024 , we’ve served over 10 million customers, unlocking $2 billion in cumulative credit for the everyday earners across Africa, in addition to over 10,000 e-bikes financed in Kenya.

Important Notice

M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.

M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships.

M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for ‘recruitment fees’, ‘processing fees’, ‘interview fees’, or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.

Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.

If your application is successful M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include; criminal records, identification verification, academic qualifications, employment dates and employer references.

Senior Data EngineerLocation: Remote Clearance Level: Active Secret OverviewRackner is seeking a Senior Data Engineer to lead the design, development, optimization, and operation of enterprise data pipelines and data platform components within the Microsoft Fabric environment.

Headquarters: Sweden
URL: http://career.proxify.io

The Role:

 

We are looking for a Senior Platform Engineer on behalf of our client to build, scale, and maintain an Internal Developer Platform (IDP) that empowers application software teams to ship code safely, independently, and rapidly. In this role, you will treat the developer platform as a product—building self-service infrastructure abstractions, automated CI/CD capabilities, and guardrails that eliminate operational toil for product developers.

 

What we’re looking for:

 

• 5+ years of hands-on experience in platform engineering, site reliability engineering (SRE), or core DevOps, with a proven track record of designing and delivering Internal Developer Platforms (IDPs).

• Expert-level mastery of Kubernetes administration, custom controller/operator architectures, service meshes (Istio/Linkerd), and continuous delivery via GitOps tools (ArgoCD or Flux).

• Deep proficiency using Terraform, OpenTofu, or Pulumi to construct modular, reusable infrastructure blueprints across cloud environments (AWS, GCP, or Azure).

• Strong programming skills in Go or Python to build custom platform extensions, CLI tools, Kubernetes operators, and API integrations.

• Practical experience building or integrating developer portals (e.g., Backstage, Port) and automated workflow engines to abstract infrastructure complexity.

• Hands-on experience establishing end-to-end telemetry standards using Prometheus, Grafana, and OpenTelemetry for metric, log, and trace aggregation.

 

Nice-to-Have:

 

• Experience with cloud-native control plane abstractions like Crossplane.

• Exposure to FinOps practices, container cost monitoring (e.g., Kubecost), and automated resource optimization.

• Active contributions to open-source cloud-native projects (CNCF ecosystem).

• Strong background in zero-trust security controls, secrets management (HashiCorp Vault), and compliance automation.

 

Responsibilities:

 

• Architect, build, and maintain self-service platform tools and developer portals that enable product teams to independently provision infrastructure, manage environments, and deploy services.

• Maintain robust, automated GitOps delivery pipelines using ArgoCD/Flux, establishing safe deployment practices (canary, blue-green, automated rollbacks).

• Maintain cluster health, upgrade lifecycles, autoscaling policies, and security policies across multi-region Kubernetes deployments.

• Write production-grade Go/Python code to build custom Kubernetes operators, CLI utilities, and API automation to streamline developer workflows.

• Establish platform-wide SLI/SLO tracking, implement centralized logging and tracing infrastructure, and enforce automated security and cost-compliance policies across environments.

 

What we offer:

Get paid, not played No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.


Predictable project hours Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.


Flex days, so you can recharge Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.


Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote positions at the world's most exciting companies.


Hand-picked opportunities just for you Skip the typical recruitment roadblocks and biases with personally matched positions.


One seamless process, multiple opportunities A one-time contracting process for endless opportunities, with no extra assessments.


Compensation Enjoy the same pay, every month with positions landed through Proxify.

To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-platform-engineer