Remote 💻 Development Jobs

What You’ll Own & Drive

• Production Kubernetes - Operate, scale, and evolve cloud-native infrastructure with a strong bias toward reliability, observability, and automation.
• Infrastructure as Code - Build and maintain Terraform and Helm Charts with real depth, driving consistency and repeatability across environments.
• CI/CD at Scale - Implement and maintain pipelines that are fast, secure, and developer-friendly, shortening the path from merge to deploy.
• Incident Response & Root Cause - Lead incidents when they hit, run blameless post-incident learning, and ship the durable fix - not just the patch.
• Observability That Earns Trust - Improve monitoring and alerting to cut noise, surface real signal, and reduce on-call burnout.
• Pragmatic Security & Compliance - Partner with security to implement controls that hold up to audit without crippling velocity, keeping secrets management, access controls, and network boundaries sane and defensible.
• Developer Experience - Treat operational pain as a bug. Automate, document, and pave the road for the engineers shipping on top of your platform.
• On-Call Ownership - Participate in the team’s weekly 24x7 rotation (handoff Mondays ~11am PT). Respond promptly, escalate cleanly, and own customer-impacting issues through to resolution.

Who You Are

• Production Owner - You don’t need constant direction and don’t wait to be told something is broken. You go look.
• Pragmatic Operator - You’re opinionated but optimize for outcomes, not ideology. You push back when something is unsafe or short-sighted, and concede when you’re wrong.
• Automation Mindset - You document and automate what matters. Tribal knowledge is a bug. Manual runbooks are a smell.
• Clear Communicator - You can explain an outage, a tradeoff, or a risk to engineers, security, and leadership without losing nuance or hiding behind jargon.
• Quiet Reliability - You take pride in the unsexy work: clean rollbacks, sane secrets, quiet alerts, repeatable deploys.
• Engaged Teammate - You show up in team discussions, design reviews, and task refinement. This isn’t a tickets-only seat.

Your Background

• 7+ years of experience in DevOps, SRE, or infrastructure engineering roles.
• Strong hands-on experience operating Kubernetes in production - not just standing it up.
• Deep familiarity with at least one major cloud provider (AWS strongly preferred).
• Proven depth in Infrastructure as Code - Terraform and Helm Charts are essential, not nice-to-haves.
• Experience implementing and maintaining CI/CD systems at scale.
• Strong Linux fundamentals and real production debugging skills.
• Comfortable with a weekly 24x7 on-call rotation and the responsiveness it demands.
• Nice to have: Experience operating MongoDB, PostgreSQL, or other stateful systems in production.
• Familiarity with security tooling, certificate management, or compliance frameworks.
• Background in SaaS operations or environments with real uptime, security, or regulatory stakes.
• Track record of improving developer experience through tooling and automation.

Tech Stack & Team

Production Kubernetes, Terraform, Helm, AWS, CI/CD tooling, Linux, monitoring/observability tooling, security tooling, secrets management, on-call rotation.

Benefits & Perks

• Flexible Working Hours & Workplace
• Open Vacation Policy
• Equal Opportunities: Incode is an equal opportunity employer with a diverse, inclusive, global team.
• Reasonable accommodations available throughout the hiring process

Senior Data Scientist (f/m/d)

Location: Hamburg

Employment Type: Full time

Department: adjoe

adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.

Architecting Intelligence to Optimize 200M+ Daily Decisions

As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time.

Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren't just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange.

Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem.

Your Mission & Who We Are Looking For:

• Proven track record in production ML. You have 5+ years in Data Science with a history of deployed models that moved real business metrics, not just research that stayed in notebooks. At adjoe, you'll be building models that predict LTV, conversion, and user behavior across 770 million users, directly impacting advertiser ROAS and publisher revenue.
• Deep learning is your primary tool. You have strong hands-on experience with PyTorch or TensorFlow and have deployed deep learning models in production environments handling 1M+ daily predictions. You know the difference between a model that works in evaluation and one that holds up under real traffic.
• Full ML lifecycle ownership. You own the problem end-to-end from extracting insights out of terabytes of behavioral data using Trino, Spark, or AWS Athena, through model development and A/B validation, to production deployment. Experience with Airflow or model hosting is a strong plus.
• Fluent in both Python and data at scale. You work comfortably with the core DS stack (pandas/polars, numpy, scikit-learn, LightGBM, CatBoost, XGBoost) and have advanced SQL skills for drilling into large distributed datasets.
• Bridges ML and product. You can translate product requirements into ML logic and explain model behavior and impact to non-technical stakeholders without losing the technical depth underneath. AdTech experience is a strong plus.

What’s in It for You?

🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.

At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.

• Go Big. Own projects with impact on 770M users and push adtech boundaries.
• Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
• Be Direct. Solve problems openly and collaborate across teams.
• Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
• Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.

We welcome applications from people who will contribute to the diversity of our company.

Apply for this Job

Frontend Team Lead

What you'll do

• Lead and manage the frontend team: plan work, balance workload, and support engineers in solving complex technical and architectural challenges
• Design architectural solutions and contribute to the development of core application components
• Work with brokerage integrations and external APIs, participating in the design and implementation of complex business workflows
• Conduct code reviews and establish, maintain, and promote engineering quality standards
• Support team growth through regular 1:1 meetings, mentoring, and helping engineers develop both technically and professionally
• Collaborate with cross-functional teams and participate in cross-team technical discussions
• Lead technical meetings and discussions with English-speaking partners and stakeholders

What makes you the perfect fit

• 5+ years of commercial frontend development experience working on applications with complex business logic
• Strong proficiency in JavaScript and TypeScript, with hands-on experience in React
• Experience managing a software development team of at least 3 engineers
• Proven experience designing the architecture of complex client-side applications
• Solid understanding of browser internals, asynchronous programming, and web performance optimization
• Experience writing and maintaining unit, integration, and end-to-end (E2E) tests
• Strong communication and collaboration skills
• Commitment to continuous professional growth and a passion for mentoring and developing others

What we offer you

• Flexible working hours and a hybrid work format
• Well-equipped offices for focused and collaborative work
• A global, distributed team of 500+ professionals
• Learning, mentorship, and long-term career growth
• Relocation support and private health insurance
• Performance-based bonuses
• TradingView Premium access
• Regular team events and company-wide meetups

Team description

TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.

Location & general

Product · Tbilisi, Cyprus · Hybrid

Tech stack

JavaScript, TypeScript, React

Middle QA Engineer - Job Description

What you'll do

• Own end-to-end quality assurance across a multi-component ecosystem, including Web, iOS/Android mobile applications, and Backend services
• Lead validation of high-risk integrations, including third-party SDKs, ensuring data integrity, performance, and reliability
• Design and maintain test strategies, test plans, and acceptance criteria for complex product features
• Perform early-stage (shift-left) analysis of requirements, specifications, and architecture to identify risks and inconsistencies
• Manage the full defect lifecycle: identify, document, prioritize, and verify fixes within release cycles
• Conduct root cause analysis (RCA) using logs and monitoring tools across staging and production environments
• Collaborate with DevOps and Automation teams to improve CI/CD processes and accelerate delivery
• Provide flexible QA support across teams and projects based on business needs

Requirements

• Over 3 years of experience in Software Quality Assurance within product-driven or financial environments
• Strong expertise in mobile QA: deep understanding of iOS and Android architectures, experience with Xcode and Android Studio, and client-server interactions
• Hands-on experience with traffic inspection tools (e.g., Charles, Proxyman, Fiddler) for debugging integrations and analyzing API traffic
• Solid experience in backend and API testing: REST (Postman, Swagger, cURL) and familiarity with gRPC (Protobuf)
• Understanding of microservices architecture and event-driven systems (e.g., Kafka)
• Experience with monitoring and logging tools (e.g., Sentry, Firebase Crashlytics, Kibana) for troubleshooting and RCA
• Strong knowledge of QA methodologies, Agile/Scrum practices, and experience working in complex, enterprise environments
• English B2

Nice-to-have

• Basic knowledge of test automation, CI/CD (GitLab CI/GitHub Actions), containerization (Docker/Kubernetes), and SQL for data validation

We offer

• Long-term service agreement contract with QIC with 3 months probation period
• Remote-friendly culture with 25+ countries represented
• Payment in US dollars monthly to your bank account using SWIFT
• Full-time remote, 5 days per week (Sunday–Thursday), GMT+3 timezone
• Vacation: 20 days, 10 sick offs per year
• Performance reviews twice a year, with potential raises
• Potential relocation support to Doha, Qatar

Who you are

• Driven QA professional with a strong focus on end-to-end quality across web, mobile, and backend services
• Proactive with strong collaboration skills to work with cross-functional teams
• Analytical thinker with a track record of identifying risks early and driving improvements

Technologies we work with

• Vue 3, Pinia, Nuxt 3, Storybook, Sentry, Golang, PostgreSQL, Kafka, gRPC, Camunda
• Redis, Docker/Kubernetes, Prometheus/Grafana, TypeScript
• Vite, Nx, Sass, Vitest, Prettier, Strapi, Eslint

Team description

City Team in QIC app City Team drives QIC’s non-insurance ecosystem, focusing on building travel products from scratch and creating seamless, digital-first solutions that integrate into everyday life.

Senior Full Stack Engineer

What you’ll do

• Build full-stack features: React/TypeScript on the client; Django/REST services, data models, and background jobs on the server.
• Own outcomes, not tasks: refine scope, suggest trade-offs, propose simpler approaches, and land increments that deliver value fast.
• Design clean API contracts and evolve schemas/migrations; improve performance and reliability (query tuning, caching, job orchestration).
• Partner with Product & Design from discovery to delivery: clarify user jobs, write lightweight RFCs/PRDs, and shape scope and milestones.
• Keep UIs accessible and responsive; add solid error-handling and failure-mode UX.
• Raise engineering standards: testing strategy, code quality, observability hooks, resilience patterns.
• Partner with Support to investigate production issues, reduce UX papercuts, and turn learnings into fixes.
• Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience.
• Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase.

Who you are

• Senior-level experience shipping production full-stack features (React/TypeScript + Python/Django + SQL).
• Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback.
• Fluency with modern FE tooling (e.g., Vite/Webpack, Jest/Cypress) and state-management patterns.
• Backend depth: REST API design, relational modeling, migrations, performance tuning, and background job patterns.
• Excellent communication at a Senior IC level—you write clear RFCs/PRDs, give actionable reviews, and present trade-offs well.

Nice to have

• GraphQL familiarity; Kafka/queues/streaming; Spark/BigQuery; auth/RBAC; multi-tenant SaaS; design-system experience.

Tech stack

Python/Django, JavaScript/TypeScript, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.

Location & compensation

We pay based on regional compensation market rate ranges. This role is across North/South America and Europe. Base cash compensation range: $140,000 to $200,000 USD. Final offer depends on experience and other factors.

How we work

Six-week cycle: four weeks of building/shipping features, two-week cooldown for technical debt and process refinement. Team rotates to handle customer support to stay in touch with real user needs.

How we build

Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; close collaboration with Product/Design/Support.

What you’ll do

• Develop and work with supporting secure AI and LLM usage/integration both in products and within Security
• Develop building blocks to accept payments and move funds
• Stripes Core Products including Connect, Subscriptions, Checkout, RADAR, and Issuing
• Build/Enhance automated threat modeling tooling
• Identify and help reduce security debt across our product portfolio
• Work closely with product engineering teams to design solutions that are secure by default
• Tailor answers to security questions from non-engineers and engineers
• Lead threat modeling discussions and help teams strike the right balance between security, user experience and product advancement
• Scale security effort by empowering engineering teams with automation, security guidance, tooling, patterns and training
• Drive high impact, cross-team security initiatives
• Mention mentoring teammates and others across the organization

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• Bachelor’s degree or foreign equivalent in Computer Science, Security Informatics, or related followed by 5 years of security engineering experience in a production environment.
• 5 years of experience with multiple CSPs, including AWS and either GCP or Azure
• 5 years of experience with application and infrastructure security
• 5 years of experience developing threat models and helping teams reason through different approaches to reduce security risk
• 4 years of experience with containerization and orchestration technologies including Docker or Kubernetes

Salary

$194,251 - $268,400/yr. This salary range represents the base salary range for the role and any sales commissions / sales bonuses targets, if applicable, would be in addition to the base salary.

Work details

• 40 hrs/week
• Full remote work permitted.
• Multiple Positions Available.

Additional benefits

• equity, company bonus or sales commissions/bonuses
• 401(k) plan
• medical, dental, and vision benefits
• wellness stipends

Senior Java Engineer

Job Description

1. Independently investigate and design relatively complex systems
2. Optimize system performance and ensure the stability of system services
3. Translate business requirements and use cases into functional applications
4. Design, build, and maintain efficient, reusable, and reliable Java code
5. Review, test, and verify code for adherence to quality and security standards
6. Ensure the best possible performance, quality, and responsiveness of the applications
7. Identify bottlenecks and bugs, and devise solutions to these problems
8. Help maintain code quality and organization

Qualifications

1. 8+ years of Online troubleshooting experience with full lifecycle of project development for Java applications from similar industry
2. Understand the underlying principles of commonly used middleware
3. Familiar with Redis/MongoDB/MySQL/Kafka/xxl-job/K8s/SpringBoot/localCache/Prometheus
4. Strong skills in core Java, server-side Java technologies, and Spring frameworks
5. Extensive experience in software design, architecture, development integration
6. Solid knowledge of event processing models, multi-threading, enterprise integration pattern, Web Service and REST
7. Experience in Reactor and Microservice would be an added value
8. Basic or Fluent English level

Typescript developer (3d graphics)

About us: Planner 5D is a global hub for home design, uniting over 90+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone. Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users. Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market. We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design. We’re looking for Frontend developer who share our passion for writing clean and reusable code using JavaScript and TypeScript. Note that we use object-oriented programming (OOP) approach mainly as well as we work according to strict coding standards and other technical requirements. Our tech stack: PHP 7.4(8.1), Symfony, PHPUnit, MySQL, Redis, MongoDB, RabbitMQ, Git., Docker. For the front-end part: native Javascript, JQuery(legacy code), Typescript, Three.js(OpenGL), SVG, Canvas, WebGL, Webpack, Websocket, Jest (unit tests), Docker.

What you’ll do

• Write clean, scalable, and maintainable frontend code using JavaScript and TypeScript.
• Develop and integrate 3D graphics features using Three.js, WebGL, SVG, and Canvas.
• Collaborate with design and backend teams to implement pixel-perfect UI and responsive experiences.
• Participate in code reviews, testing, and debugging to ensure code quality and performance.
• Contribute to architectural decisions and help shape frontend tooling and workflows.

Who you are

• Proficient in JavaScript and TypeScript with hands-on experience in frontend development.
• Experience with 3D graphics libraries (Three.js/OpenGL) and WebGL concepts.
• Familiar with modern frontend tooling (Webpack, Jest, etc.) and Git workflows.
• Comfortable working with legacy code (jQuery) and integrating it with modern approaches.
• Strong problem-solving skills, strong communication, and collaborative mindset.

Requirements

• Proven frontend development experience with JavaScript/TypeScript.
• Experience with 3D graphics or related graphics libraries is preferred.
• Knowledge of WebGL, Three.js, SVG, Canvas, or related technologies.
• Familiarity with unit testing and test-driven development (Jest or similar).
• Ability to work across teams and adapt to a fast-paced environment.

Tech stack

• Frontend: native JavaScript, JQuery (legacy), TypeScript, Three.js (OpenGL), SVG, Canvas, WebGL, Webpack, Websocket, Jest, Docker
• Backend: PHP 7.4(8.1), Symfony, PHPUnit, MySQL, Redis, MongoDB, RabbitMQ, Git

Benefits and perks

• Competitive compensation
• Remote-friendly or flexible work arrangements
• Opportunities for professional growth and learning
• Collaborative team environment with modern tech stack

Senior Automation QA Engineer

What you'll do

• Perform comprehensive manual testing of frontend applications
• Perform functional and regression testing to ensure product stability across releases
• Identify, analyze, reproduce, and document bugs with clear detail
• Validate functionality against requirements, mockups, and real-world usability expectations
• Assess data accuracy, user experience, and edge cases beyond formal specifications
• Handle user-reported issues and translate them into actionable tasks for developers
• Create, maintain, and improve test documentation, test plans, and test cases
• Review product mockups and requirements during early development stages
• Collaborate closely with developers, designers, and product/project managers
• Contribute to end-to-end (E2E) testing efforts covering critical user journeys
• Support and gradually expand test automation coverage where applicable

Who you are

• Minimum 2 years of experience in manual testing of web applications
• Strong attention to detail, accuracy, and sense of ownership
• Solid understanding of QA methodologies, testing principles, and best practices
• Experience in Functional Testing, Regression Testing, and Test Case Design
• Hands-on experience with at least one E2E testing framework (preferably Playwright or Selenium)
• Familiarity with test reporting tools such as Allure Reports
• Basic understanding of test planning and execution processes
• Experience using browser developer tools (DevTools) for debugging
• Familiarity with tools such as Jira and Confluence
• Strong communication skills and ability to work effectively in a team environment
• Will be a plus: Basic understanding of HTML, CSS, and JavaScript
• Working knowledge of TypeScript
• Exposure to Python for scripting or test automation
• Experience working with modern frontend frameworks
• Familiarity with CI/CD tools such as Jenkins
• Awareness of unit testing frameworks (e.g., Jest) for collaboration with developers
• Experience in finance or trading domain
• Familiarity with TradingView as a product

What we offer you

• Flexible working hours and a hybrid work format
• Well-equipped offices for focused and collaborative work
• A global, distributed team of 500+ professionals
• Learning, mentorship, and long-term career growth
• Relocation support and private health insurance
• Performance-based bonuses
• TradingView Premium access
• Regular team events and company-wide meetups

Team description

Join our team working on the frontend of TradingView’s market data platform, responsible for some of the most visible and high-impact areas of the product, including the homepage, navigation, market pages, and symbol pages. As a QA Engineer, you will play a critical role in ensuring not only the correctness of the product, but also its usability, performance, and overall user experience. You’ll be the final checkpoint before release, helping guarantee that everything delivered meets the highest standards.

Head of Data Science - Generative AI

Department:Tech - Data Science

Location:Barcelona

About the opportunity

We are seeking an inspirational and strategic Head of Data Science to lead our Generative AI team. This is a critical leadership role where you will define and drive the strategy for developing production-ready generative AI applications, transforming how N26 operates and serves its millions of customers across Europe.Your team develops cutting-edge generative AI workflows, agents, and agentic systems for internal automation and to enable innovative, high-impact customer-facing product features.Are you ready to lead a high-performing team and accelerate the application of generative AI and machine learning to projects that affect millions of users all over Europe? Would you like to set the technical direction and investigate new generative AI capabilities to implement novel, strategic use cases? Come join us! 🤗

In this role, you will:

1. Architect and drive the end-to-end AI transformation across N26. This technical leadership role involves designing the MLOps infrastructure for scalable Generative AI solutions, establishing robust enterprise-wide technical standards for responsible AI governance, and championing the organizational and cultural change necessary to integrate and scale innovative GenAI solutions across all business units.

• Strategy and Leadership: Define, communicate, and execute the overall Data Science roadmap and vision for the Generative AI function, ensuring alignment with N26’s product and business goals.
• Team Management: Lead, mentor, and grow a diverse team of experienced AI experts, fostering a culture of technical excellence, continuous learning, and impact.
• Technical Oversight: Provide strategic and architectural guidance on the delivery of robust and compliant generative AI (both language and vision) solutions, including workflows, agentic systems, advanced prompt engineering, model selection, and the implementation of strong guardrails.
• Execution Excellence: Oversee cutting-edge AI projects end-to-end, driving best practices from applied research and initial experimentation (discoveries and MVPs) through advanced validation strategies to scalable production deployment.
• Stakeholder Collaboration: Partner closely with Product Managers, Backend Engineering, Compliance, and Executive Leadership to identify high-leverage opportunities, deliver measurable value, and maximize the impact of the team’s solutions.

What you need to be successful

• An advanced degree (Master’s or PhD) in a quantitative discipline such as Computer Science, Data Science, or Mathematics/Statistics is highly preferred.
• Significant professional experience (8+ years) in the development, production, and scaling of ML/AI solutions.
• Proven leadership experience (5+ years) managing, mentoring, and scaling Data Science or AI/ML teams.

• Exceptional strategic thinking and a track record of defining and executing ambitious technical roadmaps.
• Mastery of common machine learning algorithms, deep learning principles, and generative AI architectures.
• Strong programming proficiency in Python and experience with generative AI frameworks, such as LangChain and LangGraph.
• Demonstrated ability to drive a team to write production-ready, high-quality code.
• Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.
• Proven ability to continuously learn, challenge the status quo, and drive proactive applied research around the latest advances in generative AI and machine learning.
• Language skills: English full professional proficiency; Proficient knowledge of German, French, Italian or Spanish will be appreciated.

What’s in it for you

• Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
• Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.
• As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.
• Additional day of annual leave for each year of service.
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, experiences, and backgrounds.
• A relocation package with visa support for those who need it.

Responsibilities

• Design, develop, and maintain robust, scalable back-end solutions using Optimizely CMS and Commerce platforms
• Collaborate with front-end developers, architects, designers, and stakeholders to deliver seamless digital experiences
• Develop integrations with third-party systems (APIs, payment gateways, CRM, etc.)
• Ensure code quality through code reviews, unit testing, and best engineering practices
• Optimize application performance, scalability, and security
• Participate in architectural discussions and technical decision-making processes
• Provide technical mentorship to junior developers and actively contribute to knowledge sharing
• Stay up-to-date with the latest Optimizely features, tools, and industry trends

Requirements

• 5+ years of professional back-end development experience
• Solid expertise in Optimizely CMS and Commerce (minimum 2 years hands-on)
• Strong knowledge of .NET Core, C#, and modern development frameworks
• Experience with RESTful API design and integration
• Solid understanding of software design principles, architecture patterns, and performance optimization
• Familiarity with relational databases (e.g., SQL Server) and ORM tools
• Hands-on experience with version control (Git), CI/CD pipelines, and Agile methodologies
• Excellent problem-solving skills and attention to detail

Must have

• Optimizely CMS and Commerce
• .NET Core
• C#
• Experience with headless CMS implementations

Nice to have

• Optimizely Certification(s)
• Knowledge of cloud platforms (Azure or AWS)
• Familiarity with testing frameworks and automated testing practices

What we can offer

• Our modern stack projects are the right mix of exciting and challenging
• Gain access to our diverse range of training programs, courses, and certifications
• Choose your work style - remote, on-site or hybrid in one of our stunning offices. We offer the freedom of flexible working hours
• Enhance your language skills with our corporate English classes
• Work from anywhere and explore the world with our Workation program

Senior Data Scientist, Rides Safety

We’re looking for an experienced Data Scientist to join our Rides Safety team and help build our predictive and automated safety and risk systems - from user screening tooling and telemetry anomaly detection to behaviour factors predictions.

If you're excited about applying machine learning and automated decision-making tools to real-world mobility challenges, you’ll find plenty of impactful work here.Locations: Tallinn, Estonia | Tartu, Estonia

About the role

You'll own Bolt's Safety automation and prediction systems end-to-end and directly influence users from our marketplace with millions of trips daily, working in an independent and self-sufficient full stack product team - from mobile applications through the server infrastructure. Your daily tasks will range from modelling risk to designing and experimenting with automated intervention strategies. This includes managing the load on automation endpoints and real-time data streams. You’ll identify new safety opportunities, run large-scale experiments, and take predictive and automation models from research to production. This is a highly impactful role where your work will directly shape the experience of over 200 million customers worldwide.

Main tasks and responsibilities:

• Identify, research, and prioritise hypotheses to improve automated and predictive safety algorithms (e.g., risk scoring, verification, and progressive interruption systems).
• Develop, deploy, and monitor automated safety systems, ranging from classical supervised learning to real-time risk models and advanced control system designs.
• Design and run large-scale experiments to validate safety approaches and estimate their impact on core safety metrics (e.g., incident rates, verification success, and driver/rider experience).
• Lead the data science and ML-first approach to safety and risk management in the company.
• Partner with analysts, engineers, product managers, and operations specialists to identify safety problems and develop the most efficient, data-informed solutions.

About you:

• Strong ownership mindset and comfort working autonomously from problem research to model deployment.
• 3+ years of experience in machine learning for automated decision making.
• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems.
• Mastery in Python and SQL.
• Skilled at communication with cross-functional stakeholders.
• At Bolt, using AI daily is a baseline expectation for everyone. If there’s a faster, smarter way to do your work, we expect you to find it. You’re still responsible for the output, so the standard stays high when using AI tools.
• Experience is valuable, but what we really look for is drive, intelligence, and integrity — so if you don’t tick every box, apply anyway.

Software Engineer, Reliability

What you’ll do

• Design, build, ship, and maintain the core observability libraries, tools, and patterns used by all of Checkr’s engineering teams
• Troubleshoot complex production issues across the stack, with respect to performance, availability, and data quality
• Participate in a cross-organization incident response team, driving continuous improvement
• Contribute to architectural discussions within the SRE team and with cross-functional teams
• Influence cross-team projects and the reliability roadmap to enable engineering and help Checkr customers
• Provide consultation and feedback across teams to ensure we are building highly reliable, efficient, and scalable systems

Who you are

• Bachelor’s degree in Computer Science or related field, or equivalent practical experience
• 2+ years of software engineering experience, including 1+ years focused on reliability, scalability, and efficiency of distributed systems
• Proficiency in Python (preferred), Go, or Ruby within Linux environments, and strong understanding of microservices, asynchronous systems, and remote APIs
• Experience developing and operating production, customer-facing systems in AWS or Azure using Kubernetes, Docker, and Terraform
• Skilled in observability and incident response practices using tools such as Datadog, Splunk, Grafana, Prometheus, and OpenTelemetry, with a focus on continuous improvement
• Strong collaboration, documentation, and communication skills, with experience leading small projects, promoting platform adoption, and fostering a self-service, product-first mindset
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

What We Offer

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive cash and equity compensation, and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend
• In-office hub locations: Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile
• Expectations to work from the office 3+ days a week
• In-office perks: lunch five times a week, commuter stipend, snacks and beverages
• A relocation stipend may be available for those willing to relocate to a Checkr hub location

Senior Frontend Engineer

About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. This is a product-engineering role: not “build what you’re told,” but shape what we build —own the problem, propose solutions, and ship outcomes that matter to users and the business.

About the role

We’re hiring a Senior Frontend Engineer with product vision. You’ll lead with craft—shipping fast, accessible UX in React/TypeScript —and partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls. You care about clarity, performance, and simplicity in complex, data-heavy workflows—so the result feels simple, performant, and trustworthy.

Responsibilities

• Build and maintain frontend components and views for labeling, review, and evaluation workflows with performance, accessibility, and scalability in mind.
• Own outcomes, not tasks: refine scope, suggest trade-offs, propose simpler approaches, and land increments that deliver value fast.
• Partner with Product & Design from discovery to delivery: clarify user jobs, write lightweight RFCs/PRDs, and shape scope and milestones.
• Prototype to de-risk UX; use flags/gradual rollouts; gather feedback from users/support and iterate after releases.
• Raise the bar on FE standards: state management, testing, error boundaries, a11y, i18n, and developer ergonomics.
• Partner with Support to investigate production issues, reduce UX papercuts, and turn learnings into fixes.
• Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience.
• Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase.

What you’ll bring

• Senior-level experience shipping production React/TypeScript apps (HTML/CSS mastery; ES6+; a11y).
• Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback.
• Fluency with modern FE tooling (e.g., Vite/Webpack, Jest/Cypress) and state-management patterns.
• Comfort collaborating with APIs and occasionally touching backend code (Django/REST familiarity is a plus).
• Excellent communication at a Senior IC level —you write clear RFCs/PRDs, give actionable reviews, and present trade-offs well.

Nice to have

• Experience with data/ML tools, OSS, design systems, or performance profiling.
• Familiarity with feature flags/gradual rollouts and qualitative feedback loops (support forums, user sessions).
• Prior work on complex, data-heavy UIs (review tools, multi-step workflows, or IDE-like apps).

Our stack
Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.

How we build
Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.

How we work
At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues. After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.

Location & Compensation
At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

Air Systems Engineer - Mid/Senior

ZeroAvia is seeking an Air Systems Engineer to lead the design and development of air delivery systems for its hydrogen fuel cell powertrains. This role is ideal for an experienced aerospace engineer with deep expertise in air system architecture, turbomachinery, and thermo‑fluid analysis, who can take full technical ownership from concept generation through certification‑ready design, testing, and supplier integration. Acting as a subject matter expert, the successful candidate will work across multidisciplinary teams and the supply chain to develop, analyse, and validate fuel cell cathode and air delivery systems using first‑principles analysis, simulation, and empirical testing, supporting the certification and deployment of ZeroAvia’s current and future zero‑emission propulsion systems.

The Air Systems Engineer will assume responsibility for all aspects of aerothermal design of air delivery systems for hydrogen fuel cell power generation systems. Working with internal stakeholders and the supply chain you will develop and demonstrate air delivery equipment and architectures to support certification of current and future hydrogen fuel cell power generation systems. Acting as the subject matter expert, you will lead on air delivery system topics technical discussions.

You'll need a dynamic approach to complex problem solving including utilising empirical methods, basic calculations from first principles and 1D & 3D simulation tools. You'll use CAD to create designs and drawings of related system components and assemblies and maintain design data in PLM system in accordance with company aeronautical standards.

To succeed in this role, you'll be a self-starter, diligent, results focused and flexible. Aerospace experience, knowledge of CAA, EASA, FAA certification processes and objectives are a huge advantage.

Main responsibilities

• Own all aspects of fuel cell cathode system development; including system architecture, requirements capture, equipment design development and testing.
• Lead aerothermal concept generation through to development of system architecture, requirements and design substantiation documents.
• Analyse air delivery systems and components to define lower level functional and performance requirements.
• Proactively lead internal stakeholders and supply chain on implementation of air delivery system equipment such as electric compressors, filters, valves, heat exchangers, fluid conveyance and instrumentation
• Develop strategies and capabilities for component level engineering evaluation testing including design, installation and commissioning of equipment test rigs.
• Host, participate, present as appropriate in internal and external design and project reviews

Experience and qualifications

• Education: Bachelor's degree in an appropriate discipline and commensurate depth of technical experience, or an equivalent combination of education and experience
• First-hand knowledge of implementing compressed air systems and equipment with direct experience in hydrogen fuel cell system an advantage.
• Experience in implementation of high-speed turbomachinery (compressors, turbines) and associated system architectures.
• Conversant with associated hardware such as compressors, filters, valves, humidifiers and sensors
• Experience in developing air delivery equipment test rigs including instrumentation and data acquisition systems, knowledge of programming environments (e.g. LabVIEW) a plus
• Experience of high voltage direct current (HVDC) systems and power electronics a plus
• User of MATLAB Simulink/Simscape or similar 1D thermo-fluid software
• Experience of commercial CFD codes (e.g. Ansys Fluent/CFX)
• Working knowledge of CAD and PLM tools (e.g. Siemens NX, Teamcentre)
• Use of requirements management tools (e.g. Polarion)
• Commensurate depth of related aerospace industry experience
• Excellent interpersonal skills and level of spoken and written English
• Ability to work on own initiative as well as part of an Integrated Project Team

At ZeroAvia, we’re clean sky thinkers. For the world to achieve truly clean, guilt-free flight, we need a scalable solution; hydrogen-electric powertrains. As a leader in zero-emission aviation and a UK Jet Zero Council member, we’re designing and commercialising hydrogen-powered solutions that will positively impact the future of aviation, global connectivity, and the world.

Join us at our Global HQ in Cotswold Airport, home to some of our aircraft and the workplace of many ZeroAvians. Located just outside the historic market town of Cirencester, you’ll experience a workspace built by engineers for engineers. This is a high-velocity and fast-paced environment with good links to the M4 and M5, so it’s fitting that it’s also our UK Head Office.

Why Join Us?

We want to help you be your best self, at work and at home, that’s why we provide our employees with…

• Private health and dental care– get access to services and support when you need them. Add your family members too.
• Mental health support– enjoy a culture where positive mental health is front of mind with our trained Mental Health First Aiders, Employee Assistance Programmes and wellbeing support.
• Free lunch and healthy snacks– keeping you fuelled up so you can help us deliver the technology of the future
• Sports, games and culture clubs– connect and keep fit with other ZeroAvians by joining one of our clubs – such as, running, cycling, padel, trivia, theatre and gardening.

We also offer:

• Stock options– so you can share in our success.
• 25 days holiday, plus public holidays and additional days awarded for long service
• Free EV Charging and membership in our EV Club.
• Salary Sacrifice Schemes for EV Club, Curry's Tech and Cycle to Work
• Weekly Spot Bonuses to reward excellence.
• Income Protection and Legal Support for peace of mind.
• Relocation Support to make your move seamless.

Diversity and Inclusion

As an emergent company shaping the aviation industry, we know that diversity fuels success and unlocks potential. We embrace being an equal-opportunity employer and actively seek individuals from diverse backgrounds. We value the multitude of skills, perspectives, and mindsets everyone can bring to the table. These experiences ignite creativity, originality, and growth. We proudly reject discrimination in all forms, including that based on race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

(Senior) Backend Engineer, Platform

About Wheely

Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you.

About the Role

Our Platform team creates the foundation that allows our entire engineering organisation to move fast. This means building shared tooling, managing migrations (including our move from a Ruby monolith), and evolving our infrastructure. We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery. We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform. Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

What you'll do

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.

What we Offer

• Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
• Salary: £90,000 – £120,000
• Employee stock options plan
• Private medical and dental insurance
• Life and critical illness cover
• Latest-generation MacBook Pro and 4k display
• Monthly credit towards Wheely journeys
• Cycle to Work scheme
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

QA (DataOps) Engineer

TradingView is the world’s #1 platform for all things investing. 100M+ users trust us to inform their trading decisions. Want to make an impact? Apply now — help shape the future of finance.

What you’ll do

• Data Monitoring: Identify and analyze defects within numerical data streams.
• Incident Investigation (RCA): Conduct root cause analysis to understand why data discrepancies occur.
• Data Remediation: Fix incorrect records and implement measures to prevent their recurrence.
• Collaboration: Work closely with developers and analysts to optimize data processing pipelines.
• Documentation: Document identified defects and the logic behind their resolution within the task lifecycle.

Who you are

• CLI Proficiency: Confidence working in the terminal (Bash/CLI).
• English: Reading proficiency at a level sufficient for understanding technical documentation.
• SDLC Knowledge: A solid understanding of the Software Development Life Cycle.
• Version Control: Hands-on experience with Git/GitHub.
• Domain Expertise: Experience with exchange/market data, and an understanding of trading mechanics or personal investing (plus).
• Automation Skills: Basic Python skills for writing simple processing scripts or proficiency with Regex for searching through large data arrays.

Requirements & Qualifications

• DataOps Engineer with a primary focus on Data Quality
• Experience identifying anomalies, investigating root causes of incorrect metrics, and resolving product data defects
• ŽExperience collaborating with developers and analysts to optimize data pipelines

What we offer you

• Flexible working hours and a hybrid work format
• Well-equipped offices for focused and collaborative work
• A global, distributed team of 500+ professionals
• Learning, mentorship, and long-term career growth
• Relocation support and private health insurance
• Performance-based bonuses
• TradingView Premium access
• Regular team events and company-wide meetups

Tech stack

Not explicitly listed in a separate section; requires Python and Git/GitHub familiarity, Bash/CLI proficiency, and data-focused tooling as part of DataOps and data quality responsibilities.

Team

Hi! We are looking for a DataOps Engineer with a primary focus on Data Quality. Your role won’t involve traditional UI or API testing; instead, you will dive deep into the data—identifying anomalies, investigating the root causes of incorrect metrics, and resolving product data defects. You will become the vital link between raw data and a high-quality final product.

Location & status

Product • Tbilisi • Hybrid

Network Infrastructure Engineer

Conversant Group-Athena7 - United Kingdom (Remote)

Fenix24 is an industry-leading cyber disaster recovery and restoration company. Battling threat actors as The World’s First Civilian Cybersecurity Force, Fenix24 delivers cybersecurity services through its four battalions: Fenix24 for ransomware recovery and restoration; Athena7 for IT security assessments, strategy and planning; Grypho5 for ongoing security-based management; and Argos99 for expert insights into data, assets and infrastructure. Under its Securitas Summa program, Fenix24 ensures organizations are prepared to effectively resist and rapidly recover from a cyberattack, offering a combination of managed data and infrastructure protection, real-time threat intelligence, and ongoing hardening and breach resistance.

Athena7 is one of four battalions fighting threat actors on the front lines of the global cyber war. As part of The World’s First Civilian Cybersecurity Force, Athena7 specializes in resistance hardening, IT security assessments, strategy and planning to ensure an organization's defenses are prepared to effectively resist and rapidly recover from a cyberattack.

The Network Infrastructure Engineer will support both project-based work and the ongoing maintenance of customers' existing network environments, including M&A activities. This role requires hands-on experience with Cisco network switches, firewalls (Fortinet, Palo Alto), SD-WAN, and Wi-Fi 802.1x. The Network Engineer will work closely with senior engineers and the Project Management Office (PMO) to support network projects, gather requirements, help scope project engagements, and ensure the security and performance of client networks.

This is a remote opportunity based within the UK.

Job Duties & Responsibilities:

• Assist in the design and deployment of network solutions for project-based work, including Cisco switches, Fortinet and Palo Alto firewalls, and SD-WAN.
• Gather requirements and assist in scoping project engagements, collaborating with senior engineers and the PMO.
• Provide support for customers' existing network environments, including troubleshooting and maintenance.
• Participate in M&A activities by assisting in the integration of networks, systems, and applications.
• Implement network security measures, including firewall policies, VPNs, and Wi-Fi 802.1x.
• Collaborate with senior engineers and the PMO to execute network projects and implement network changes.
• Assist in cloud networking tasks in Azure and AWS, including connectivity and security configurations.
• Maintain network documentation, including configurations and topology diagrams.
• Stay updated with industry trends and provide support and recommendations to clients.

Qualifications:

• 3-5 years of experience in network support, configuration, and troubleshooting.
• Experience working as a consultant, supporting clients with technical network solutions.
• Hands-on experience with Cisco network switches, Fortinet and Palo Alto firewalls, and SD-WAN technologies.
• Basic understanding of cloud networking in Azure and AWS.
• Experience with M&A network integration support.
• Strong problem-solving skills and ability to manage both project-based work and ongoing support tasks.
• Certifications such as CCNA, CompTIA Network+, or equivalent experience.
• Strong communication and organizational skills.

Benefits & Perks:

• Internal and external learning & development opportunities, including career advancement
• Scheduled & flexible PTO programs
• Family friendly programs- Care packages
• Regular team building events
• Competitive compensation & benefits including:
• Private health insurance
• Mental health and wellness programmes
• Company-matched pension scheme
• Life insurance and income protection insurance
• Monthly fitness/gym membership allowance

Who You Are / Team Description:

Join the world's first Civilian Cybersecurity Force and take your career to the next level!

What you’ll do

Build and deploy ML/AI services. Design, develop, and ship ML models and AI systems that Product Engineering teams rely on. You write the model code, the API layer, the monitoring, and the tests. Not notebooks; production services.

Design with LLMs and APIs. Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems. You know when to call an LLM, when to fine-tune, when to use a classical model, and when to write a rule. You think about cost, latency, and quality together.

Ship production software. Write clean, well-structured code with solid OOP, proper abstractions, error handling, and tests. Your code gets reviewed by SWEs and passes. CI/CD is how you work, not something you bolt on at the end.

Partner with product and engineering. Translate business problems into ML solutions. Define API contracts with product engineers. Explain your approach clearly to non-ML partners and leave the room with alignment, not confusion.

Evaluate and iterate fast. Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance. Ship and iterate; don’t wait for perfect.

Ship AI-powered workflows. Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr’s agentic platform. The expectation is that our teams operate AI-first.

What you bring

• A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience
• 4+ years building software professionally, with at least 2 of those building ML systems that run in production
• Strong Python fluency; you write clean, testable, well-structured code with solid OOP instincts. Not scripts; software
• Hands-on experience using LLM APIs in production systems: prompt engineering, structured outputs, function calling, cost management, and evaluation
• You’ve built and maintained APIs, worked with CI/CD pipelines, and shipped code that other engineers depend on
• Comfortable with distributed systems concepts: queues, async processing, caching, horizontal scaling
• Experience with NLP tasks in production: classification, extraction, entity resolution, summarization
• Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal
• You can evaluate tradeoffs: fine-tune vs. prompt, hosted vs. self-deployed, classical ML vs. LLM, rule vs. model
• Strong communication skills; you explain technical decisions clearly to engineers and non-engineers alike, without hiding behind jargon
• You use AI tools (Copilot, Claude, etc.) to move faster, but you understand every line they produce. You can spot AI slop and you don’t ship it
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

Nice to have

• Experience with MLOps platforms (MLflow, SageMaker, Vertex, or similar)
• Background in document processing, OCR, or information extraction
• Experience with PySpark or large-scale data processing
• Ruby experience (Checkr’s platform runs on Rails)
• Familiarity with compliance-sensitive domains (fintech, legal tech, HR tech)
• Working knowledge of dbt, Snowflake, or modern ELT/data transformation tools

What we offer

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive cash and equity compensation, and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend
• In-office perks and hub locations (Denver, CO; San Francisco, CA; Nashville, TN; Santiago, Chile) with in-office presence required 3+ days a week
• A relocation stipend may be available

Who you are

• Based in San Francisco or willing to relocate; strong collaboration with Product Engineering and cross-functional teams
• Customer-, impact-, and result-driven with a passion for building production-grade ML systems

THE ROLE & THE TEAM

As a Senior Principal Applied Scientist, you will drive the scientific vision and execution for the Bidding and Allocation engines within Zalando Marketing Services (ZMS).

Every time a customer interacts with Zalando, our ad tech system must make high-stakes decisions in real-time. The system evaluates thousands of candidate ads, predicts performance metrics, and executes sophisticated auction logic to decide which ad to show and at what price. Every second, we process tens of thousands of requests where the intersection of market dynamics and machine learning creates unique challenges.

In this position, you will lead our optimization efforts at the frontier of high-load low-latency Engineering, Auction Theory, and Mechanism Design. The technical scope covers Large Scale Bayesian Inference, Value based Bidding, Incrementality-based Allocation, Reinforcement Learning, and Multi-Objective Optimization. You will be instrumental in evolving our auction mechanisms to balance advertiser ROI with a premium customer experience

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• Lead the research and development of our real-time bidding and allocation algorithms, optimizing for long-term platform health, advertiser performance, and user relevance.
• Advance our Auction and Mechanism Design capabilities to ensure a fair, efficient, and transparent marketplace.
• Collaborate with Product Managers, Engineers, and Analysts to translate complex business constraints into mathematical objective functions.
• Drive the long-term scientific and execution roadmap for ZMS Ad Tech Bidding Optimization in collaboration with Engineers and ML Scientists and foster a culture of technical excellence.
• Mentor and grow senior level members of the team, acting as a force multiplier for our scientific community.

WE’D LOVE TO MEET YOU IF

• You have a PhD in Machine learning with a track record of publications and industry experience
• A proven track record of research excellence, evidenced by peer-reviewed publications in relevant fields such as Computational Advertising, Auction Theory, Mechanism Design, or Game Theory (please include these in your application) and/or equivalent applied industry impact track
• At least 10+ years of experience (commensurate with Principal level) in optimizing complex systems through automated algorithms, specifically within Ad Tech, Marketplaces, or related fields.
• Deep theoretical and technical expertise in optimization, control theory, or reinforcement learning applied to bidding and budget pacing.
• Expert knowledge of productionalizing ML models within ultra-low latency constraints and experience with large-scale distributed systems.
• Strong proficiency in Python and related stack, with a solid understanding of how to architect scalable data pipelines for sparse, high-dimensional advertising data.

OUR OFFER

• 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
• 2 paid volunteering days a year
• Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
• Work from abroad for up to 30 working days a year
• Employee shares program
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Wellhub, formerly Gympass)
• Mental health support and coaching available
• Drive your development through our training platform and biannual peer-to-peer review

WHO YOU ARE

• PhD in Machine Learning with publications and industry experience
• 10+ years of experience in optimizing complex systems through automated algorithms in Ad Tech/Marketplaces
• Deep expertise in optimization, control theory, or reinforcement learning for bidding and budget pacing
• Experience productionalizing ML models for ultra-low latency and with large-scale distributed systems
• Strong Python proficiency and ability to architect scalable data pipelines for high-dimensional advertising data