Writing.io Jobs

Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a...

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and...

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and...

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and...

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....

Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a...

Headquarters: Brasília - Brasilia, Brasília - Federal District, Brazil

Company Description

Are you passionate about building robust, high-performance data platforms? Join us as a Data Engineer and work on an innovative solution in the interior decor industry. 

We at Sigma Software create cutting-edge digital products that transform industries, and this project is no exception. You will be part of a team that combines technology and design to deliver a unique visualization experience for customers. Why join us? You’ll work with modern data engineering tools, enjoy professional growth opportunities, and be part of a supportive, knowledge-sharing culture.

CUSTOMER

Our client operates in the interior decor sector, delivering innovative digital solutions that enhance the shopping experience. Their advanced visualization tools allow customers to preview furniture and decor items in realistic settings, helping them make confident purchasing decisions. The company blends technology with design expertise to transform how people shop for their homes.

PROJECT

The project focuses on building a high-performance data platform to support an advanced interior visualization product. This solution enables real-time rendering of home decor items in various styles and environments, powered by robust ELT pipelines and centralized data warehousing. The team works closely with product managers, machine learning engineers, and data scientists to ensure data-driven insights and seamless user experiences.

 

 

Job Description

• Design, build, and optimize high-volume, high-performance ELT pipelines for centralized data warehousing
• Collaborate with Product Managers, ML Engineers, Data Scientists, and DevOps to define and enforce a reliable, scalable, and secure data platform architecture
• Ensure adherence to data warehousing standards, data quality best practices, and metadata management processes
• Take responsibility for assigned data warehouse components, contributing to enhancements in performance and reliability
• Conduct architecture reviews and participate in system design discussions to provide technical input
• Support and collaborate with peers, sharing knowledge and promoting a culture of quality and continuous learning

Qualifications

• At least 3-4 years of experience in data engineering, building scalable data systems and pipelines
• Strong SQL skills
• Working proficiency in Python
• Experience building or maintaining data pipelines and working with a data warehouse or analytics stack
• Strong computer science fundamentals
• Knowledge of system architecture with emphasis on reliability, availability, and performance
• Focus on delivering production-ready solutions
• Attention to detail and commitment to data quality
• Clear communication skills
• Comfortable working in a fast-paced, evolving environment
• Upper-Intermediate level of spoken and written English

Additional Information

PERSONAL PROFILE

• Proactive and detail-oriented approach
• Ability to take ownership of complex data systems
• Passion for data quality and continuous improvement
• Strong mentoring and collaboration skills
• Adaptability in fast-paced project environments

To apply: https://weworkremotely.com/remote-jobs/sigma-software-data-engineer-interior-design

Headquarters: Mexico
URL: http://lawnstarter.com

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and related services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services.

About Engineering Quality at LawnStarter

Our QA team is growing, and we're investing real money in better test coverage. We already have shared quality standards and a QA squad that organizes itself horizontally across teams. What we don't have is someone dedicated to owning that vision: every QA is heads-down on their own team, so nobody has the room to drive the standards forward, unify how the squad works, or push the state of the art. That's the gap this role fills. It's not a nice-to-have we're adding because things are going well. It's the structure and leadership we need to make what we've already built actually compound.

The Role

You'll be LawnStarter's first Principal Quality Engineer, reporting directly to the Head of Engineering. We already have quality standards, working CI/CD gates, and AI tooling in the mix. Nobody owns the vision behind all of it, drives it forward, or leads the QA squad that keeps it running. You will.

This isn't a QA management job today. You won't spend your day approving tickets or chasing bug counts. You'll take ownership of the standards and tooling that already exist, work collaboratively with the QA squad to improve them, and keep pushing the state of quality engineering forward as the org grows. As the QA squad grows, this role could take on direct people management of QAs, so hiring, coaching, and performance management experience is a real plus even though it's not the day-one job.

You're not starting from zero, and you're not inheriting a mess either. That means the job isn't "invent a strategy nobody has thought about." It's "listen to the QAs who live in this every day, understand where the pain is, and lead them toward what's next." We need someone who reads where LawnStarter is today and builds from there, not someone who shows up with a favorite tool stack and a coverage number they picked before they met the team.

What makes this role different:

• You own and evolve the quality strategy together with the QA team, instead of building one in a vacuum or just executing someone else's.
• You have direct sponsorship from the Head of Engineering and the room to keep growing the AI-native tooling already in the mix.
• Your success is measured by how much better the whole engineering org's quality gets under your leadership, not by a headcount number.

What You'll Own

• Strategy and vision: The company-wide quality engineering roadmap, plus a quality accountability framework that spells out what engineers, EMs, and PMs each own at every stage of building software.
• Test strategy across the stack: Unit, component, contract, API, end-to-end, mobile, and non-functional testing (performance, load, accessibility), agreed with each team as their quality contract.
• AI-native quality tooling: AI agents and skills, including Claude Code style tooling, that any engineer can run on demand for test generation, code review, and quality guidance. You'll keep hunting for the next AI capability worth putting in front of the team.
• CI/CD and test infrastructure: Required checks, quality gates, E2E and visual regression pipelines, performance budgets, and the mobile test automation strategy across emulators and real device clouds. That includes deciding what actually needs to block a deploy versus what can run async, and keeping the pipeline itself fast.
• Production quality signal: Tying monitoring into incident response and building dashboards teams actually check, not ones that just exist.
• Technical mentorship of the QA discipline: QA engineers keep reporting to their own Engineering Managers today. You won't manage their day-to-day or their careers right now. You'll own the technical and craft side of QA org-wide, mentor QA engineers across every squad, and send your input to their EMs to feed performance reviews. That could change as the squad grows into a direct reporting line to this role.

Problems to Solve

A solid quality bar with no one steering it.

We already have shared standards, working quality gates, and AI tooling in the mix. What's missing is someone whose job is to look at all of it, decide what needs to improve next, and actually drive that improvement instead of it being everyone's part-time responsibility.

A QA squad with no dedicated leadership.

Our QAs already organize horizontally across teams, but every one of them is focused on their own team's work day to day. Nobody has the bandwidth to unify how they work, spread what's working on one team to the others, or represent their pain points where decisions get made. You'll give that squad the structure and leadership it's missing.

Standards that need continuous R&D, not a rewrite.

The foundation works. The risk is standing still while the org grows. You'll keep pushing the state of the art, testing new approaches and tools, and deciding what's worth rolling out broadly versus what stays an experiment.

Quality work that's still someone's side project.

Right now, improving quality practice competes with each QA's day-to-day team commitments. You'll make it someone's actual job to carry that forward, and get engineers, EMs, and PMs treating it as planned work instead of something squeezed in.

What Success Looks Like (Year 1)

• A clear quality vision, owned and communicated: Every product team can point to what "good" means for their testing and why, with you as the person who set that direction and keeps it current.
• Measurable improvement on existing gates: Flakiness, pipeline cost, and what runs sync versus async on core repositories are visibly better than when you started, not just maintained.
• At least one new AI-native capability shipped: You've pushed the existing AI tooling forward with something new, like an added test-generation flow or audit, that engineers actually reach for weekly.
• A QA squad that feels led: The QAs across teams can point to concrete ways their work, tools, or standards improved because someone was finally driving it.

Requirements

Who You Are

AI-native, specifically for quality work. You already use AI to generate tests, not just to autocomplete code. You've set up agentic tooling like Claude Code or MCP-based workflows so engineers can run on-demand test generation or code review against their own repos, and you keep experimenting with what AI can take off a team's plate next. This is unlikely to be a good fit if AI tools mostly make you nervous, or your use of them stops at your own personal productivity.

A strategic thinker, not a tool zealot. Give you a team's current maturity level, and you'll design the testing approach that fits where they are, not the one you used at your last job. You resist the urge to mandate a specific framework or a specific coverage number before you understand the context. Someone who shows up insisting "we need to hit 90% coverage" or "everyone must use Playwright" without first learning how the team works will struggle here.

Deeply hands-on across the whole test pyramid. You've built and maintained component, contract, API, E2E, and performance test suites yourself, not just reviewed slides about them. You're the person who steps in when the engineering team is blocked by the pipeline and can't ship. If your test automation experience stops at reading dashboards other people built, this role will feel out of reach fast.

A patient teacher who still ships. Coaching engineers on testing practice and running enablement sessions is part of the job. So is personally building the CI pipelines and the tooling. You don't write the doc and hope someone else implements it. This is unlikely to be a good fit for someone who only wants to advise, or who avoids hands-on infrastructure work.

Comfortable owning influence without owning headcount, at least for now. You'll mentor QA engineers across every squad on technical craft and send notes to their EMs for performance reviews. You won't be their manager on day one, and you won't set their career path. This works well if you're motivated by discipline-wide technical influence. It won't if you need direct reports from the start to feel engaged. If you've hired, coached, and managed performance for a QA or engineering team before, that's a genuine plus: this role could grow into managing the QA squad directly as it scales.

This Role Is NOT

• A traditional QA management job, at least not on day one: You won't manage QA engineers day to day or own their career growth right now. Their EMs do that. You own the technical and strategic direction of the QA discipline instead, with the door open to direct management as the squad grows.
• A "throw out what's there and start over" job: We have real standards and tooling worth building on. You can't parachute in with a pre-packaged process or a favorite tool stack and mandate it regardless of fit.
• A ticket-approval or gatekeeping role: You're not the last line of defense that blocks releases at the end. You're embedding quality earlier, so there's less to block.
• A headcount-growth play: Your success isn't measured by how big a QA team you build. It's measured by how much better the whole engineering org's quality gets.

Benefits

Compensation & Benefits

• Base salary: $80,000-$100,000 USD annually.
• Fully remote: This is deep-focus analytical work with US-facing partners. We hire the best analyst regardless of city and trust you to manage your environment and overlap hours.
• Flexible PTO: Measured on outcomes, not hours logged.

LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

To apply: https://weworkremotely.com/remote-jobs/lawnstarter-principal-quality-engineer-1

About MegaportWe’re not your typical tech company – and we don’t want to be.

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.

Software Developer – Production Engineering

Realize your potential by joining the leading performance-driven advertising company! As a Software Developer on the Production Engineering team in our Infrastructure R&D Department, you’ll play a vital role in building and scaling the core platform behind one of the largest real-time recommendation systems in the world.

1.4 billion users. 950,000 requests per second. 140TB of fresh data every day. 800M metrics every minute. You’ll join a team of strong engineers operating at this scale, with full ownership from design to production.

You’ll have the freedom to move fast, solve complex infrastructure challenges, and help drive what comes next.

To thrive in this role, you’ll need:

• Experience developing large scale distributed systems and solid understanding of production system infrastructure
• Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures, and concurrent/multi-threaded programming
• 3+ years programming experience in Java or equivalent Object-Oriented language
• Production systems understanding
• Experience with SQL and No-SQL
• Highly Proficient in Linux environment
• Proven ability to work effectively across multiple teams
• B.Sc in computer science or equivalent experience

Bonus points if you have:

• Experience in Big Data tools
• Knowledge in algorithms, data-mining and machine learning

How you’ll make an impact:

As a Production engineering team member, you’ll bring value by:

• Have end to end ownership: Design, develop, deploy, measure and maintain our services
• Build and evolve one of the world’s largest real-time systems, including Taboola’s core framework code, used across R&D
• Improve observability, monitoring, and logging to proactively detect and resolve performance issues.
• Leverage Gen-AI tools to accelerate development velocity across the R&D organization, enabling further growth of Taboola’s recommendation engine
• Collaborate with the brightest software engineers team members
• Directly shape how billions of people discover the internet.

Here are some of the things software devs in our group did in the last several months:

• Rewrote part of our recommendation servers to reduce serving time p999 by >40%
• Developed internal smart and adaptable cluster management capabilities to allow dynamic resources allocation for heterogeneous traffic patterns
• Created and improved Taboola’s Kafka consumer designed for very high scale
• Developed a brand new Taboola metrics pipeline, ingesting over 100B metric messages per day
• Rolled out a new custom home-built Taboola authentication service
• Many more things…

Our Tech Stack:

Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Metrictank, Grafana, Airflow, Redis

This is us!

You will work with:

• The people who wrote the first lines of code in Taboola (and many many more lines after that)
• People who are deeply familiar with the code of Kafka, Cassandra, AirFlow, Prometheus and Spark (including committing back)
• Famous internal Taboola hackathon winners
• The designers and implementers of an offheap, zero GC, Custom Kafka Producer which cumulatively sends ~100B messages / day

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

Adam Singolda, Taboola Founder and CEO says:

“You can copy anything from another business but you can’t copy a company’s culture.”

Well-being: Enjoy comprehensive benefits and well-being programs tailored to the region, a fully stocked kitchen, and location-specific perks.

Flexibility: We offer a hybrid work schedule with 3 days in-office, with an option to come in more often if desired.

Work with some of the biggest names: Our publisher partners include Yahoo, Condé Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-ID

#LI-Hybrid

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.

ARE YOU INTERESTED IN JOINING AN INNOVATIVE LOGISTICS TECHNOLOGY COMPANY?

Loadsmart is a growth-stage technology company valued at over $1 billion (a true Tech Unicorn)!

We are a collection of industry veterans and user-centered engineers using innovative technology to fearlessly reinvent the future of freight by helping shippers, brokers, warehouses and carriers to move more with less.

With headquarters in Chicago and a globally distributed remote team, Loadsmart continues to attract top talent committed to driving meaningful change. We seek professionals who embody our core values: curiosity, clarity, results, commitment, and teamwork.

In the SRE, Tech Lead role you will build and maintain the company’s internal platform, driving operational excellence and empowering the entire engineering team. You should have experience in analyzing, proposing, and implementing safer systems and processes. Collaborating closely with engineering squads across platform engineering, you will ensure our applications are both safe and reliable. As a hands-on leader, you will stay actively involved in technical work while collaborating closely with internal stakeholders and engineering squads across the organization to ensure our applications are both safe and reliable.

DEPARTMENT: Engineering

LOCATION: Anywhere in Brazil - Remote

WHAT YOU GET TO DO

• Collaborate with and support our creative, tight-knit development team.
• Design, deploy, and operate Loadsmart’s critical systems while balancing reliability, cost, and agility.
• Play a key role in driving reliability projects with engineering teams.
• Utilize your intuitive problem-solving skills and contagious positive attitude to tackle challenging and exciting issues, inspiring those around you.
• Collect metrics and understand their business impact, encouraging the team to do the same.
• Perform troubleshooting and root-cause analysis of system operation issues.
• Be accountable for the platform’s Service Level Agreements and Objectives.
• Provide infrastructure support during off-hours as needed
• Take ownership of software infrastructure projects
• Seek, give, and receive constructive feedback through code and specification reviews.
• Familiarity with AI agents and agentic workflows, applying AI across the SDLC (AI-assisted coding), LLMs, MCP servers/gateways, and how emerging AI tooling can improve reliability and operations is a plus.

REQUIRED QUALIFICATIONS:

• 1-3 years leading Reliability Work across multiple engineering squads
• Over 5 years of experience in Cloud Computing, SRE/DevOps
• Proven experience collaborating with internal stakeholders across multiple engineering squads
• Strong project management skills with a demonstrated ability to delegate and mentor team members
• Proficient in English communication (both written and spoken) to collaborate in an international team with native and non-native English speakers
• Detail-oriented with high initiative and self-motivation
• Strong understanding of software engineering principles and how systems work under the hood
• In-depth knowledge of modern networking and operating systems
• Proficiency in AWS, cloud environments, containers, Kubernetes, Docker, and DevOps engineering, including managing tests and CI/CD pipelines
• Familiarity with automation tools and provisioners like Terraform, Ansible, or Chef
• Solid troubleshooting and system engineering experience in UNIX/Linux production environments
• Experience with monitoring, alerting, and incident management
• Proficiency in automating tasks with scripting languages like Python, Bash, etc
• Experience or exposure to PostgreSQL and DBA responsibilities is a plus
• Fluent in English (both written and spoken); comfortable interacting with native English speakers daily.

WORKING AT LOADSMART:

• Competitive base salaries - we believe in rewarding top talent

• Extremely competitive Equity package - become a shareholder in our company!

• Loadie Time Off - PTO and sick days without a limit

At Loadsmart, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Loadsmart treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes, including on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status, or disability.

It is the policy of Loadsmart that all offers of employment made shall be contingent upon successful completion of electronic background check(s). These checks will be job-related, consistent with business necessity and conducted by our vendor, pursuant to all applicable laws, rules, policies and procedures of our candidates’ specific locale.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

Cosmic AC is Tether Data’s GPU compute and managed inference platform: GPU containers, managed inference endpoints and platform observability, delivered as a self-hosted package on Kubernetes, with a control plane written in JavaScript. The platform is expanding from orchestrating workloads on a managed cluster to owning the full stack on bare-metal GPU infrastructure: a managed Slurm scheduling layer for internal research and model-training teams first, and our own Kubernetes control plane for inference tenancy after that.

The Technical Lead owns the architecture and delivery of that stack and leads the engineering team building it: about twelve engineers across backend, frontend, DevOps, QA and documentation, distributed across Europe and India. The role reports to the Senior Technical Product Manager for Cosmic AC, who owns scope, sequencing and partner commitments; the Technical Lead owns architecture, implementation and delivery plans, line-manages the engineers, and is the primary technical interface to our infrastructure partners.

This is a hands-on infrastructure leadership role with a fixed delivery window in its first six months. It is not a research role, not a pure Kubernetes SRE role, and not a management-only role.

Responsibilities

Architecture. Own the platform architecture end to end: architecture proposals, high-level and low-level designs, driven through review and kept current as the baseline.

Team leadership. Lead and line-manage a distributed team across backend (Node.js), frontend (React), DevOps, QA and documentation: engineering standards, code and design review, release gates, one-to-ones, growth and performance input.

Bare-metal GPU scheduling layer. Design, build and operate a managed Slurm service for research users: controller and accounting, partitions and login nodes, node onboarding and acceptance, driver and CUDA baseline and upgrades, stalled-job and node-health detection, drain and autohealing, storage visibility, identity and isolation.

Kubernetes control plane and GPU enablement. Own cluster bootstrap and lifecycle on partner-provided bare metal, NVIDIA GPU Operator and Network Operator, VM-based GPU isolation (KubeVirt and VFIO), and day-2 operations: upgrades, backup and recovery, node replacement.

Managed inference at scale. Serving architecture, multi-GPU and multi-node parallelism, autoscaling, request routing and endpoint reliability; confidential-compute-capable capacity for sensitive workloads.

Observability and operations. Metrics, logging, alerting and SLOs across control plane, GPU fleet and application tiers; incident response and post-incident review; an on-call model a small team can sustain.

Partners and vendors. Primary technical interface to infrastructure partners and vendors: turning requirements into written specifications and acceptance tests, running escalations to closure, and providing technical input to capacity planning and hardware sourcing.

Internal consumers. Work directly with research, model-training and product teams to translate their workloads into platform requirements, and broker capacity when it is short.

Hiring. Complete the platform team and set the technical bar for the engineers who join it.

Requirements

Must have

• Experience. Eight or more years of hands-on engineering, including at least three leading teams that build and operate infrastructure platforms other teams depend on. Bachelor’s or Master’s degree in computer science or engineering, or equivalent practical experience.

• Slurm at scale, hands on. Has run slurmctld and slurmdbd for real users: partitions, QoS and priority, accounting, prolog and epilog, node health scripting, upgrades with jobs on the system. Ideally has operated an HPC or GPU training cluster for a research population.

• GPU fleet operation on bare metal. NVIDIA driver and CUDA lifecycle, Fabric Manager and NVSwitch behaviour on SXM systems, DCGM-based health and utilisation, MIG, node burn-in and acceptance.

• High-performance interconnects. InfiniBand fabric and subnet configuration, RDMA, SR-IOV, and diagnosing multi-node NCCL performance problems.

• Linux systems depth. Kernel modules and drivers, PCIe passthrough and vfio-pci, cgroups and namespaces, performance tuning for compute-heavy workloads.

• Production Kubernetes operation, not just deployment: control plane, upgrades, CNI and CSI, operators and custom controllers, multi-tenancy design.

• HPC storage and data movement. Shared filesystems (VAST, Lustre, NFS), node-local NVMe caching, distributing large model weights and datasets across many nodes.

• Observability and operations. Prometheus, Grafana and Loki or equivalents, SLOs, incident response and post-incident review.

• Working fluency in JavaScript and Node.js sufficient to review a control plane, CLI and worker services with authority and to make architecture decisions on them. Not a feature-development requirement.

• A shipped platform with real users. A multi-tenant IaaS or PaaS, or a research computing service: resource isolation, quotas, usage metering, and user-facing API and CLI surfaces.

• Leadership that stays in the code. People management across time zones, cross-track review, written architecture decisions with alternatives recorded, and the ability to tell a partner or an executive no with reasons.

• Excellent written and spoken English. Most partner and leadership work happens in writing.

• Location. Fully remote, based between UTC and UTC+5:30 so the working day overlaps both Europe and India, where the team and its partners work. Occasional travel to partner sites and team events.

Desirable

• Slurm operators on Kubernetes (Soperator, Slinky) or Kubernetes-native schedulers (Kueue, Volcano, KAI, Kubeflow Trainer).

• Modern serving stacks (vLLM, SGLang, TensorRT-LLM): parallelism strategies, quantisation trade-offs, GPU memory planning.

• VM and container isolation for multi-tenant GPU compute (KubeVirt, Kata Containers, QEMU and KVM, Firecracker); confidential computing (Intel TDX, AMD SEV-SNP, NVIDIA confidential-compute mode).

• Cluster API and kubeadm, Cilium, NVSentinel-class autohealing, infrastructure as code and GitOps.

• Time on the operator side of a GPU cloud, a national or university HPC centre, or an AI lab’s platform team.

• Peer-to-peer or distributed-systems background.

• Experience with a hardware provider who provisions but does not operate, and turning that relationship into a written contract with acceptance tests.

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.