Headquarters: 6 Rue dArmaillé Paris, Île-de-France, 75017 France

Description de l'offre d'emploi

À propos d’Alphorm:

Alphorm est le leader de l’e-learning IT en français, engagé à proposer des formations innovantes, accessibles et de haute qualité. Notre mission est de développer les compétences de demain et de rendre l’apprentissage professionnel accessible partout dans le monde. Rejoindre Alphorm, c’est participer à une aventure éducative stimulante et impactante.

Description du poste:

Nous recherchons des formateurs passionnés, experts dans leur domaine, souhaitant partager leurs connaissances à un large public international. En tant que formateur indépendant chez Alphorm, vous aurez l’opportunité de :

• Développer votre marque personnelle et votre visibilité professionnelle.

• Créer des formations engageantes et adaptées aux besoins des apprenants.

• Contribuer au développement des compétences IT de nos apprenants à travers le monde.

Vos avantages chez Alphorm

• Création de formations sur-mesure : Exprimez votre expertise et votre créativité tout en bénéficiant de notre accompagnement pédagogique.

• Impact global : Touchez plus de 200 000 apprenants à travers le monde et participez à une mission éducative sans frontières.

• Flexibilité et autonomie : Organisez votre travail selon vos propres conditions, tout en profitant du soutien d’une équipe dédiée.

• Rémunération attractive et reconnaissance : Valorisez votre travail grâce à une structure de rémunération motivante et à la reconnaissance d’un public international.

Pourquoi rejoindre Alphorm ?

• Accompagnement personnalisé : Notre équipe pédagogique vous soutient à chaque étape de la création de vos cours.

• Liberté de création : Gardez le contrôle sur le contenu de vos formations, reflétant votre expertise et votre style unique.

• Impact concret : Contribuez directement au développement professionnel de milliers de professionnels IT.

• Visibilité et réseau : Renforcez votre notoriété et élargissez votre réseau grâce à notre plateforme reconnue.

Pré-requis du poste

Profil recherché

Si vous avez l'expertise dans l'un des domaines suivants, nous avons besoin de vous :

• Cybersécurité

• DevOps,

• Cloud : Cloud Computing, Architecture Cloud, certifications Cloud.

• Intelligence artificielle

• Maching Learning

• Deep Learning

• Réseaux

C'est fait !

Votre candidature a été envoyée avec succès !

Autre offre d'emploi

To apply: https://weworkremotely.com/remote-jobs/alphorm-formateur-it-independant-cybersecurite-ia-cloud-devops-et-reseaux

Headquarters: Toronto
URL: https://www.poweredbysearch.com/

Ready to own paid media strategy for some of the fastest-growing B2B companies?

If you can run a Google Ads account (LinkedIn and Meta, too) with precision, and guide conversations with conviction, composure and confidence, we want to talk to you.

We're looking for a Paid Media Strategist who can lead senior client conversations, turn campaign complexity into clear business recommendations, and confidently explain what matters, why it matters, and what should happen next.

Our mission at Powered by Search

We exist to make B2B companies unstoppable, doing work we love, with people we like, how we want. We are a global, fully remote team across 8+ countries.

We have a talented and diverse team that live by our core values:

• Always be in it to win it.
• Give a shit.
• Be obsessed with serving others.
• Practice a growth mindset.
• When we fail, don’t lose the lesson.

 

The opportunity

As a trusted advisor to fast-growing B2B companies, you'll join a high performing team rated 4.8/5 on Glassdoor, where 95% of team members recommend us. This is a client-facing strategic paid media role. You won't just build campaigns or ship reports. You will lead calls, set the agenda, guide clients toward decisions, and connect every dollar of spend to pipeline and revenue.

What sets you apart

• You lead senior client conversations with clarity, confidence, and commercial judgment
• You keep control of a call: set the agenda, handle pushback thoughtfully in the moment, land on decisions and next steps
• You report on the metrics the client's business runs on (demos, pipeline, revenue), never vanity metrics
• You translate campaign data into plain-language recommendations a CMO can act on
• You come to every conversation with a recommendation, not just a list of options
• You spot risks, opportunities, and blockers before the client has to ask
• You can deliver honest, sometimes difficult feedback in a way clients trust
• You respectfully coach up and teach clients at multiple levels, from Marketing Managers to CMOs

Key responsibilities

Strategic Leadership

• Develop paid media strategies aligned to each client's business goals and North Star Metric
• Own forecasting and budget pacing against quarterly and annual targets
• Lead monthly and quarterly reviews with senior stakeholders: results, tradeoffs, risks, next actions
• Steer client conversations toward decisions, priorities, and committed next steps
• Drive AI-assisted campaign strategy, creative testing, and measurement

Client Success

• Manage and grow a portfolio of 4-7 B2B clients as their primary strategic contact
• Build trust with senior marketing, demand gen, and executive stakeholders
• Run calls with confidence: set agendas, control the room, handle hard questions live
• Communicate progress, risks, and recommendations before the client asks
• Own follow-through so every conversation ends with clear actions, owners, and timelines

Technical Excellence

• Plan, launch, and optimize across Google, Microsoft, LinkedIn, and Meta Ads
• Own conversion tracking integrity end to end (GA4, GTM, CRM); never launch without it
• Diagnose performance issues at the root: tracking, structure, bidding, creative, or demand
• Prioritize by business impact, effort, and implementation reality; QA everything before it ships

Required experience

• 3+ years hands-on B2B paid media, with at least 1 year in B2B SaaS
• Prior client-facing strategy role where you owned communication, not just execution
• Track record hitting MQL, SQL, or pipeline targets for B2B clients
• Direct responsibility for at least $50k in monthly ad spend across multiple accounts
• Google Ads depth plus at least one of LinkedIn, Meta, or Microsoft Ads
• Working command of GA4, GTM, and CRM attribution (HubSpot, Salesforce)
• Written and spoken communication skills strong enough to lead senior calls and defend recommendations under pressure

Perks & Benefits:

• This role is fully remote
• 5 weeks of paid time off
• We offer competitive compensation plus quarterly bonuses
• Flexible working hours (requires 4 overlap hours with 9am - 5pm EST)
• Paid training (school, events, conferences)
• *For full-time Canadian residents only - comprehensive health, dental, and eye care

This role may not be a fit if

• You prefer optimizing accounts without leading the client relationship
• You need someone else to turn your analysis into client-ready recommendations
• You lose the thread when a senior stakeholder challenges your numbers on a live call
• You report platform metrics (CTR, CPC, impressions) as results rather than business outcomes
• You prefer being handed tasks rather than owning outcomes, priorities, and follow-through

To apply: https://weworkremotely.com/remote-jobs/powered-by-search-senior-performance-marketing-strategist

Headquarters: Belgrade, 00, Serbia

Job description

Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling.

DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally.

We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys.

If this excites you more than it scares you, you are in the right place.

The Role

We are looking for Senior Growth Product Manager who will drive revenue growth by optimizing the subscription lifecycle and monetization mechanics. In this role, you will focus on improving conversion, ARPU, and retention through experimentation, pricing strategy, and product-led growth initiatives.

What You Will Do

• Own and optimize the subscription funnel: join pages, paywalls, free flows and trials, upgrades, renewals

• Develop and iterate on pricing, packaging, and upsell/order bumps strategies to maximize LTV per user

• Lead initiatives around churn reduction, cancellation flows, and retention mechanics

• Design and run A/B tests to improve conversion, LTV, and monetization efficiency

• Work with user segmentation and behavioral data to personalize offers and pricing

• Collaborate with engineering, data, and marketing teams to ship growth experiments and monetization features

• Define hypotheses, analyze results, and scale successful growth initiatives

• Continuously track and improve subscription metrics and reporting (conversion, ARPU, churn, LTV)

What We Are Looking For

• 3+ Years Experience as a Growth Product Manager or Monetization PM

• Strong understanding of subscription business models and revenue mechanics

• Ability to work with data, experiments, and product analytics to drive decisions

• Experience running A/B tests and growth experiments

• Familiarity with pricing strategy, paywall optimization, and subscription lifecycle management

• Ability to collaborate cross-functionally with engineering, BI, and finance

• Fluency in English

Hiring Process

• HR screening (30 min)

• Team Interview (1 hour)

• Case Task (2-4 hours)

• CEO Interview (45 min)

Explore our hiring process

What We Offer

Please note: fully remote contract role. B2B only - work as an independent contractor with your own legal entity.

• The chance to be part of a pioneering team in a rapidly evolving industry

• Direct impact on the future of immersive media

• Flexible working hours and remote-first culture

• A team that values initiative, clarity, and collaboration

• Access to all tools and tech you need

• Unlimited DeoVR Premium

• A work environment where ideas matter and people are treated with respect

Stay Connected

Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.

All done!

Your application has been successfully submitted!

Other jobs

To apply: https://weworkremotely.com/remote-jobs/infomediji-senior-growth-product-manager

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.

IT - Clemson University - PeopleSoft Technical Support Engineer – Consultant JobTitle: PeopleSoft Systems AdministratorLocation:Remote Employment Type: Contract (C2C / W2)Duration: Long Term ContractExperience Required: 7+ Years Project Scope:We are seeking an experienced PeopleSoftSystems Administrator to provide support for a highly complex PeopleSoft HumanResource Management System, including related web applications and reportingenvironments.

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.

Siege Media is a growing and remote-first organic/AI growth agency! We are nationally recognized on Inc.’s Best Workplaces list and Inc. 5000 list, highlighting the 5000 fastest-growing private companies. Interested in joining the Siege team? We currently have a spot open for a talented Sr. GEO/SEO Analyst to help us deliver great SEO and GEO work for our world-class clients.

This is a senior execution role and a step up on our GEO/SEO career path. You’ll take on our more complex and independent SEO and GEO work, hold a high bar in everything you ship, and occasionally work directly with clients, while Team Leads still own the overall client relationship and strategy. There are no direct reports, but you’ll help set the execution bar and support the Analysts around you. For those interested in growing into client strategy and ownership, this can also be a natural path toward a Team Lead role.

Perks include 100% health, vision and dental benefits, 50% 401k match up to 6% of your salary, donation matching, career development training, unlimited PTO, remote work equipment, and free pens. Everyone loves free pens.

Learn more about working at Siege by experiencing our culture on Instagram and checking out our work on Dribbble!

Siege Media values diversity. We encourage people of color, LGBTQ+ folks, veterans, parents and those with disabilities to apply. We are committed to helping all people succeed at Siege. If you require reasonable accommodation to complete our application or interview process, please let us know.

Responsibilities

• Independently execute our more advanced and higher-stakes SEO and GEO work across client sites, with minimal direction
• Lead complex analysis: technical audits, diagnostics, and competitive and AI-answer research, and turn findings into clear, actionable recommendations
• Deliver polished, thoroughly QA’d work, checking your own recommendations, site changes, and reports for accuracy before they ship
• Conduct keyword and prompt research, plus competitor analysis, and build the content and roadmap inputs that guide client work
• Implement and troubleshoot structured data and content optimizations that improve visibility in both traditional search and AI-generated answers
• Build and interpret performance reports in Google Analytics 4, Google Search Console, Ahrefs, and Peec AI, turning data into insights and recommendations, not just surfacing changes
• Track and analyze AI search visibility (citations, share of voice, and AI-referral traffic) and recommend actions to improve it
• Join client calls or contribute to client-facing deliverables on an as-needed basis
• Help set execution standards, document processes and playbooks, and mentor Analysts on the craft, sharing best practices and hands-on guidance
• Manage multiple client workstreams independently, hitting deadlines and communicating progress clearly
• Partner with content and development teams to get recommendations implemented cleanly and on time
• Stay ahead of SEO and GEO developments and bring new ideas and tactics to the team

Required Skills

• 3-5 years of hands-on SEO experience, including meaningful GEO or AI search work
• Deep command of on-page and technical SEO (crawling, indexing, rendering, structured data, site architecture, and internal linking), with the ability to diagnose issues independently
• Strong experience with Ahrefs, Screaming Frog, Google Analytics 4, Google Search Console, and Peec AI or similar AI tracking tools
• The ability to turn data into clear insights and actionable recommendations, not just reporting
• A strong understanding of how AI search engines surface, rank, and cite content, and how to influence it
• Proven ability to work independently with minimal direction and own the quality of your work
• Sharp attention to detail and a QA mindset
• Comfort communicating with clients and stakeholders as needed
• Ability to juggle multiple client workstreams and deadlines in a remote setting
• Comfort using LLMs as a tool to speed up and improve your work
• Comfort working in HTML, including implementing structured data (familiarity with CSS and JavaScript a plus)
• Experience using Google Workspace (Sheets, Slides, Docs)
• Strong written and verbal communication

Suggested Skills

• Experience working in an agency environment
• Experience with eCommerce, Fintech, or SaaS clients
• Experience mentoring or reviewing the work of other SEOs
• Some client-facing or presentation experience
• Familiarity with a CMS like WordPress, Shopify, or Webflow
• Experience with a project management tool like Basecamp or Productive

The salary range for this position is $75,000 to $85,000 DOE.

Please plan for the following during the hiring process:

1. Your resume
2. A short introduction/cover letter
3. What would the Schema Person Markup for Michael Scott (from The Office) look like using JSON-LD? Please create a unique schema markup using JSON-LD for the person mentioned above.
4. A brief GEO/SEO skills test after your second interview. It’s short and low-pressure.

#LI-REMOTE

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.

Mission - Why we exist, what we do, and why we need you

SpotMe is a leading B2B event platform that helps enterprises increase the impact of their events by delivering CRM-connected, high-quality experiences across in-person, virtual, hybrid events, and webinars. With a strong focus on life sciences, SpotMe powers Onomi: the Live HCP Engagement Platform that enables medical and commercial teams to run impactful congresses, symposia, advisory boards, and webinars. Together, SpotMe and Onomi turn live events into a company’s most effective engagement channel.

Pharma companies use event platforms as registration forms while request, approval, budget, HCP registration, transfer of value (ToV), and reporting run in Excel and at agencies. We are building Onomi 360, the life-sciences strategic meetings management (SMM) product, to replace the incumbent event platform in that space. First accounts already run their meeting requests and approvals in Onomi 360; the demand is validated and the trajectory is exciting.

Your focus will be MeetingsEQ, the SMM layer of Onomi 360: one front door for every request, approval and budget as configuration, unified HCP identity, per-attendee ToV allocation, and engagement and spend flowing back into the CRM without re-keying. The customer’s CRM and master data stay where they are; the event platform behind the meetings program is where we play. AI-assisted development is how we work, and you will have real freedom to use it.

This position is the ideal role for a hands-on product leader from the life-sciences meetings, compliance, or HCP-data world who would rather ship and test than talk about the problem, and who wants to own one product end to end and see the process they once operated replaced with a modern, AI-first workflow.

As a Senior Product Manager, Onomi 360, you will be reporting to the VP Product. Your time will be spent on:

• [35%] Defining the detailed product. Turn customer workbooks, operating procedures, RFP requirements, and our capability map into roadmap priorities and build-ready specifications.
• [30%] Shipping. Work daily with design and engineering in the Onomi 360 codebase: thin production slices, prototypes, scope calls, validation in the running product. Daily AI-based prototyping and customer validation.
• [25%] Customers and partners. Work with meetings operations, compliance, medical affairs, finance, agencies, and the customer’s data team. Define how Onomi 360 works with Veeva, Salesforce, Snowflake, and consent, and own the venue-sourcing and fair-market-value partner integrations.
• [10%] Product truth. Keep what we claim, what we demo, and what we ship documented, clear and moving in the right direction.

Objectives - The problems you will solve

In your first month, you will:

• Take over the first customer’s move from their meeting request form to Onomi 360: spec, build, history migration, customer session.
• Get set up with AI-based toolkit and the Onomi 360 codebase, and use both in your daily work.
• Meet the early access customers (design partners) for Onomi 360.

After 3 months, you will have:

• The first customer live on meeting request and approvals in Onomi 360, measured against their baseline.
• The roadmap priorities for the next two quarters defined, and the first priorities specified to build depth with engineering.
• A clean separation everyone uses: aspirational (slides), forward-looking (prototype-based demo), and committed (roadmap and backlog).

After 6 months, you will have:

• The full end-to-end MeetingsEQ product specified and engineering-reviewed, request through approval, budget, HCP registration, ToV, and reporting.
• One customer replacing Excel with the Onomi 360 ToV module, and the first live account expanded from request and approval into budget, ToV, or venue sourcing.

After 12 months, you will have:

• One customer closing a full ToV reporting cycle in Onomi 360 instead of Excel.
• Three accounts running request to closure in production, and the org-wide calendar or HCP engagement view used outside compliance.
• Onomi 360 winning the meetings-management scope in RFPs.

What you need to be great at

• Life-sciences meetings, compliance, or transparency operations. You have built or operated workflows spanning approval, budgeting, ToV, and closure, and you know what EFPIA and Sunshine disclosure mean in practice.
• HCP data and integration fluency. Identity across Veeva, Salesforce, OneKey, and NPI; match rates; what a data team expects from a write-back.
• Domain-to-product translation. A messy operating process becomes states, rules, configuration, permissions, and audit events, with regulation separated from customer policy.
• Sequencing. The smallest production slice that proves the model without hiding the hard architectural or compliance question.
• Bias to execute. You ship, prototype, and put things in front of users in days, not spend weeks describing the problem. You drive decisions to a close and pull others along.
• Precise writing and direct communication. Specs detailed enough to build and review, plain words, disagreement in the open.
• Technical and AI fluency. You work in Claude Code or OpenAI Codex, you understand code, data flows, and architecture well enough to challenge an engineering design. You know the software development lifecycle deeply, from RFC and specification through review, release, and support. AI takes you from evidence to a testable artifact in hours.

What we want to hear about

1. Life-sciences meetings and transfer of value. Tell us about a meetings or transfer-of-value process you built or ran end to end, from request through approval, budget, HCP registration, and disclosure. Where did it break, and what did you change? This is the process Onomi 360 replaces, and we want someone who has lived it.
2. From operating process to product. Tell us about a messy process you turned into a product: which rules you made fixed, which you made configurable, what you integrated, and what you left manual. That translation is the heart of this role.
3. Shipping fast. Tell us about the last thing you shipped or prototyped within two weeks of first hearing the problem. What did you skip, and what did users do with it? Here you put working software in front of pharma design partners every few weeks, not slides.
4. Building with AI. Tell us about something you built yourself with Claude Code or another AI tool that changed a product decision, and what it taught you about the code or the architecture underneath. AI-assisted development is how we build, and you will have real freedom to use it.

Fluent English (written and spoken). Remote, based in Europe or in the US Eastern or Central time zones, with about 10-20 % travel to design partners and industry events.

SpotMe recruits, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, parental status, or veteran status.

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.

Are you a theoretical mathematics expert eager to shape the future of AI?

About Us Udacity is now an Accenture company, and exciting things are happening! 🚀 We are on a mission of forging futures in tech through radical talent transformation in digital...

About Us Udacity is now an Accenture company, and exciting things are happening! 🚀 We are on a mission of forging futures in tech through radical talent transformation in digital...

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