Remote 💻 Development Jobs

Experienced UI Engineer - Contract

About us:

As a first-party Xbox Game Studio, we are passionate about making genre-defining games that are accessible, beautiful, and, most of all, fun. We are excited to be continuing the much-loved Forza Horizon franchise and are expanding our diverse team to create new experiences in the racing genre.

About the role:

As a UI Engineer, you will be working with the art, design and engineering teams to deliver UI and core technology features.You will work with the lead engineer to establish high-level goals for the team and directly with the dev team to plan and deliver UI features. You will work on all layers of the UI tech stack to improve performance and expand our capabilities.

Our ideal candidate is an experienced UI Engineer who is passionate about their craft, autonomous, skilled in C++, and has a proven track record in games development.

This is a fixed term contract based at our state-of-the-art facilities in Royal Leamington Spa. We have a hybrid work model in place with a minimum of 3 days a week in studio. Relocation assistance is available if required

What you’ll do

• Implement compelling UI features which are key to our projects vision.
• Develop core UI and engine features within our custom, proprietary engine.
• Work closely with the UI Art team to empower them through our technology.
• Become a key collaborator who can work effectively within a large multi-disciplined team.

What you’ll bring

• UI Engineering experience, with demonstrable work on at least one published title (ideally AAA).
• Strong C++ experience.
• Knowledge of existing UI frameworks such as WPF and proprietary engine development is a plus.
• Excellent task planning and delivery mindset.
• A genuine passion for video games.

This is a fantastic opportunity to make world-class games with an established, talented, and collaborative team at one of the industry’s most exciting first-party game studios.

Playground Games is proud to be an equal opportunity employer, we believe that diversity and inclusion fuels creativity. We are dedicated to creating a safe, comfortable and welcoming working environment.

We strive to build an inclusive culture that encourages, supports and celebrates the diverse voices of our team members. It drives our innovation and connects us closer to our players. We are committed to equity, diversity, and inclusion across age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex and sexual orientation.

At Playground Games we recognise the importance of self-development, career progression, well-being and retention of our colleagues. We celebrate difference and welcome everyone to join us and to be themselves at work.

If you require any reasonable accommodation to apply for this position, please contact us on recruitment@playground-games.com

What You'll Do:

• Ship production agentic systems- Design and build agents and agentic workflows that solve a defined problem end to end. You own prompts, tools, retrieval, guardrails, observability, cost and latency budgets, and rollout.
• Automate SME workflows- Identify high-leverage operational toil (review pipelines, content QA, labeling and ops loops, support triage, internal copilots) and partner with the SMEs running those workflows to define success criteria, validate outputs, and replace meaningful chunks of that work with AI systems they trust. SMEs are co-owners of quality from the start of the project.
• Own the evaluation loop and the golden datasets that anchor it- Build offline evals, LLM-as-judge with calibration, regression suites, and online metrics. Maintain versioned, decontaminated golden datasets covering intents, difficulty, edge cases, and adversarial inputs, and continuously enrich them with real production failures and SME-validated labels. The measurement plan is what decides whether a feature ships.
• Make AI features safe- Treat what you deliver as a regulated product. Design for relevant compliance frameworks (e.g., COPPA, FERPA) from day one, run safety and bias evals before launch and continuously after, and build the human-in-the-loop and content-filtering controls AI features need before they reach end users.
• Hand off what you ship- Production features leave your hands with documentation, runbooks, an eval harness, and dashboards. An embed is not complete until the receiving team has shipped a change to the system without you in the room. Typical embed length is 4 to 12 weeks.
• Make AI features easier for the rest of engineering to build- Internal libraries, patterns, and playbooks so other teams can ship AI features without your direct involvement.

What You Need:

• 7+ years professional experience as an Engineer with at least 1+ years of hands-on experience building agentic systems on at least one modern stack (LangGraph, the Anthropic SDK / Claude Agent SDK, OpenAI Agents SDK, Pydantic-AI, Mastra, LlamaIndex, CrewAI, or a homegrown stack). We care that you have built and operated agentic systems in production, not which framework.
• Strong Python familiarity plus one typed language for production services (TypeScript, Go, or similar). Cloud experience (AWS or GCP) and containerized deployment.
• Senior or staff-level software engineering foundation with several years of production environment experience and a track record of leading systems to launch.
• Multiple shipped LLM-powered features in a production environment, with concrete stories about what broke, how you fixed it, and what you would do differently.
• Practical knowledge of common agentic patterns: ReAct, tool use with structured schemas, prompt chaining, routing, orchestrator-workers, evaluator-optimizer / reflection, and human-in-the-loop. You can decide when a deterministic workflow is the right answer instead of an autonomous agent.
• Hands-on experience in a production environment with retrieval: chunking, embeddings, hybrid search, re-ranking, metadata filtering, and the failure modes of each. Working knowledge of grounding techniques that anchor generated answers in retrieved evidence (citation and quote extraction, faithfulness and refusal evals, post-hoc consistency checks).
• Strong prompt-engineering practice: zero-shot, few-shot, and many-shot patterns; example selection and ordering; in-context learning and chain-of-thought.
• Comfort with structured output and validation in production (provider-native structured outputs, Instructor, Pydantic-AI, Outlines, or a comparable approach).
• Disciplined evaluation practice. You do not rely on subjective review to decide whether a system is ready.
• Strong written and verbal communication. You can explain an architectural trade-off to an executive and to a junior engineer in the same week.
• You are comfortable using AI coding tools heavily in your implementation workflow while you own problem framing, design choices, and verification. We measure your output by working systems delivered, not lines of code written.

Nice to Have:

• Advanced retrieval experience: GraphRAG, agentic retrieval, evaluation-driven retrieval tuning, and hybrid retrieval at scale.
• Direct or transferable experience with safety, privacy, and policy constraints in user-facing AI. K-12 or other regulated-domain experience is a strong plus.
• Experience with prompt-optimization frameworks (DSPy, TEXTGRAD, AdalFlow) where they paid off in production.
• A public repo, package, gist, or technical write-up of meaningful AI work, or a representative project you can describe in detail under your confidentiality constraints.
• Open-source contributions to AI tooling (frameworks, agents, evals, MCP servers).

*A note on our interview process

One of our interview rounds is an AI-assisted coding session. Bring your own setup and solve a realistic problem live with AI in the loop. We are looking at how you collaborate with AI tools: how you prompt, validate output, catch bad suggestions, decide when to override, and produce code that meets production standards. It is not a cleanroom algorithm round.

Middle DevOps specialist

Над чем предстоит работать:

• Поддерживать и развивать CD и CI процессы.
• Развивать IaC-направление.
• Развивать и осуществлять настройку мониторинга.
• Выполнять настройку stage/dev/test сред.
• Развивать и обновлять внутренние сервисы.
• Поддерживать существующую инфраструктуру.

Опыт работы в аналогичной должности от 3 лет.

Отличное знание Docker, Kubernetes, Postgres, Nginx, Proxmox, Zabbix, Linux.

Знание принципов CI/CD.

Знание Python и Sentry будет преимуществом.

Английский уровня B1-B2.

График работы с 10 до 19 (по МСК).

Работу из любой точки мира.

Собственные технологичные решения.

Интересные проекты и амбициозные задачи.

Удаленная работа

Возможно временное оформление: договор услуг, подряда, ГПХ, самозанятые, ИП

Опыт работы: 3–6 лет

☝ В сопроводительном письме просим указать текущую локацию.

Data 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

• Maintain and develop Airflow DAGs
• Optimize and develop SQL queries for data marts
• Maintain and evolve the data platform infrastructure
• Develop dbt models and migrate existing data marts to dbt
• Design, develop, and test ETL/ELT processes
• Run proof-of-concept projects, present results, and bring them to production
• Participate in architectural decision-making for the data platform
• Document technical parts of delivered solutions

What makes you the perfect fit

• 4–5 years of experience as a Data Engineer
• Strong proficiency in Python, including writing Airflow DAGs
• Strong SQL skills, including query optimization, reading query execution plans, and improving query performance
• Experience with AWS
• Hands-on experience with Apache Airflow and pipeline design principles
• Experience working with dbt
• Understanding of MPP (Massive Parallel Processing) databases and hands-on experience with systems such as Redshift, Greenplum, or Vertica
• Confident Linux user
• Ability to clearly formulate technical specifications and defend technical decisions
• Skilled at selecting the right technologies for specific tasks

Nice to have

• Experience with Lakehouse architecture using Parquet, AWS Athena, and other AWS technologies
• Experience with monitoring systems (Prometheus + Grafana, Zabbix)
• Experience with Postgres, ClickHouse
• Experience with Apache NiFi
• Experience building and maintaining Docker containers

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

The Data Engineering team is the foundation on which the entire company operates. We build scalable infrastructure that transforms massive volumes of information into clear and trustworthy insights. The role assumes a high degree of autonomy and independence, while also requiring close collaboration with colleagues, analysts, ML engineers, and developers.

Who you are

Not explicitly listed as a separate section beyond qualifications, but includes: 4–5 years of Data Engineer experience, strong Python and SQL skills, AWS and Airflow experience, dbt experience, knowledge of MPP databases, Linux proficiency, and strong technical communication skills.

Senior Data Engineer (f/m/d) - Job Description

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.

The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. As a Data Engineer on this team – you'll be building and maintaining the infrastructure that makes them possible: the Feature Store, the data pipelines, the data quality systems, and the data architecture that data scientists depend on to move fast.

Your Mission & Who We Are Looking For:

• Data engineering at ML scale. You have 5+ years in data engineering on a modern stack, with proven experience handling systems that process several TB of data per day and thousands of events per second.
• Flink is your default for real-time. You have hands-on experience with Apache Flink for stateful stream processing and real-time feature computation. You'll translate Data Science requirements into high-performance streams, enable Data Scientists to contribute new features and implement features yourself when needed.
• Pipeline bottlenecks don't survive long around you. You know how to identify and eliminate inefficiencies in complex ETL jobs, whether handling high-volume batch processing or real-time streaming systems like Kafka. At adjoe, data velocity is critical: slow pipelines directly impact model freshness and prediction quality at sub-100ms inference.
• You think in layers, not tables. You move beyond raw data to design robust, multi-layered data architectures using dbt, and can reason confidently about storage formats, Data Lakehouse models, and what belongs where in a 1PB+ data lake. Familiarity with Medallion Architecture is a strong plus.
• The bridge between Data Science and Backend. You've worked closely with Data Scientists on online ML systems with low latency requirements, and understand what it takes to make experimental research production-ready. Strong Java required; Go or Python a plus.
• Owns quality, not just delivery. You implement data validation, monitoring, and governance processes in production, because in a system where model inputs directly drive advertiser ROI, data integrity isn't optional. Experience with Airflow, Kubeflow, AWS, Terraform, and Kubernetes is a strong plus.

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

What’s in It for You?

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.

Software Engineer

About the role:

• In this role you are going to be developing APIs that provide essential functionality that helps our customers grow their business and will be the cornerstone of the Enfuce service offerings for the foreseeable future as we build out our next generation cloud native modular API. We are looking for people who are focused on writing high-quality scalable code and can take ownership of key deliverables and contribute to our fast paced, ambitious team. This role will directly support Enfuce’s mission to deliver flexible, scalable, and secure payment solutions, enhancing customer satisfaction and business efficiency.

What you'll be doing:

• As part of the Processing team, you will design, build, and operate Enfuce’s next-generation card processing platform.
• You will work closely with very experienced engineers, and product experts to create resilient and scalable systems that handle millions of daily transactions with very low latency.
• Your role will involve developing new processing capabilities, integrating with financial networks, and ensuring compliance with payment schemes and security standards.
• You’ll have a strong voice in shaping technical direction, improving reliability, performance, and evolving the platform to meet future product and regulatory needs. We operate as a cohesive unit, valuing open communication and respect for diverse opinions. Each team member takes ownership of business processes, addressing challenges head-on, and contributing to well-documented processes that foster collaboration and clarity. Together, we take pride in making our customers' lives easier by providing clear instructions and ensuring the success of our processes.

What You'll Bring:

• You're highly proficient in building robust, scalable Java services.
• You have hands-on experience designing, building, and running applications in AWS.
• You have built high-performance applications using Spring framework.
• SQL experience (ideally with Oracle, Aurora or Postgres databases)
• Growth mindset, curious to learn about card issuing and the payments industry, and you thrive on pushing your technical limits.
• Excellent communication in English and great collaboration skills.

Bonus points if you have:

• Payments industry experience.
• Familiarity with OpenAPI documentation standards.
• Proficiency in Test-Driven Development (TDD) using jUnit.
• Experience building AWS cloud infrastructure with AWS CDK.
• Experience using Generative AI or AI agents (e.g., coding assistance, testing, or automation).

Why You’ll Love Working At Enfuce:

• High autonomy & ownership: We give you the freedom to own your work and trust you to make the best decisions for your projects.
• Top-tier talent: Join a team of industry experts and highly skilled professionals who are as passionate as you are about innovation.
• Unlimited growth potential: We support your ambition with plenty of room for personal and professional growth within the company.
• Flexible, remote work: Work from anywhere up to 30 days, in an environment that values flexibility and work-life balance.
• A supportive culture: You’ll be part of a team that encourages, motivates, and celebrates success together.

Comprehensive benefits package:

Benefits & Perks:

• Fair pay and employee stock option: We value the input of every employee and want you to tap into the growth we build together. That’s why our salaries are competitive and reassessed regularly, and you have access to an employee stock option program.
• Flexible Paid Time Off: We offer a flexible paid time off policy, providing up to 5 weeks of annual vacation days and paid family leave (subject to country regulations). Additionally, you can benefit from hybrid or remote work options, promoting a healthy work-life balance.
• Regular Fun With Your Team: To spend other than work-related time with your teammates, you get a team activity budget for three quarters a year. The fourth quarter is reserved for a company-wide event.

Software Developer in Test (Python) – Senior

SOFTSWISS is hiring a Software Developer in Test to join our team. We are looking for an automation focused QA professional with strong Python skills who will help build reliable test automation, improve product quality and contribute to quality evaluation for AI and LLM based systems.

What you’ll do

• Analyze requirements and define the testing approach for new features and product changes
• Automate test cases using the existing framework based on Python and PyTest
• Build automated quality evaluation pipelines for AI systems using metrics and LLM-as-judge approaches
• Test MCP servers, tool schemas and tool-call behavior, including edge cases and invalid arguments
• Evaluate agentic workflows, including tool selection, multi-step reasoning, error handling, loop recovery and state correctness
• Maintain and improve the test automation framework and contribute to internal testing tools, including mocks
• Prepare and maintain test documentation, including checklists, test cases and quality reports
• Participate in test design, estimations, release testing and product quality assessment
• Contribute to CI/CD and QA process improvements
• Design and maintain evaluation suites and golden datasets for RAG and agentic flows
• Perform adversarial testing for AI systems, including prompt injection, jailbreaks, tool misuse and data leakage risks
• Set up regression checks for changes in prompts, models, retrieval settings and chunking strategies
• Track AI system quality together with cost, latency and token usage
• Use tracing and observability tools to debug, measure and improve LLM application behavior

Required Experience

• 5+ years of experience in Quality Assurance, including both manual and automation testing
• Solid understanding of QA principles, test design, test coverage, test pyramid and SDLC
• Experience with Python-based test automation frameworks, such as PyTest, Behave or similar
• Experience with CI/CD and monitoring or alerting tools, such as Datadog, ELK, Sentry or similar
• Interest in testing AI/LLM-based systems. Hands-on experience is preferred, but we are also open to candidates who can learn quickly and want to grow in this area
• Familiarity with RAG, LLM evaluation and quality metrics, such as groundedness, faithfulness, answer relevance and retrieval quality
• Experience or interest in AI evaluation tools, such as RAGAS, DeepEval, promptfoo, LangSmith Eval, TruLens, Arize Phoenix or similar
• Understanding of how to test non-deterministic systems, where there may be no single correct output
• Familiarity with LangChain, LangGraph, MCP, vector databases, semantic search or LLM observability tools would be a strong plus
• Good spoken and written English (B2 level or higher)

Nice to have

• Load, stress or performance testing experience
• Kubernetes experience
• Prompt engineering experience
• AI safety, responsible AI or guardrails testing experience
• Experience curating evaluation datasets, data labeling or annotation
• Experience with Keycloak or OIDC auth-flow testing

Main Advantages

• Private health insurance
• Sports benefits
• Comprehensive Mental Health Program
• Free English lessons (online)
• Local language courses
• Paid time off
• Maternity leave support
• Referral program rewards
• Upskilling, internal workshops, and participation in professional conferences and corporate events

AI & Automation Analyst, Finance & Ops

We’re looking for an AI & Automation Analyst to join our central Finance and Operations team. This role sits at the intersection of technology, operations, and business impact — from day one, your work will have visible, measurable results: reducing manual effort across teams, speeding up key business processes, and enabling Bolt to scale without adding operational complexity.Locations: Warsaw, Poland | Tallinn, Estonia

About the role

As an AI & Automation Analyst, you will design, build, and maintain automated workflows and integrations that connect our internal systems with external platforms, data sources, and third-party tools. You will work closely with Finance, IT, and People Tech teams to translate business needs into reliable, scalable solutions — and you will own these automations end to end.

Main tasks and responsibilities:

• Designing, building, and maintaining automated workflows, including their documentation across ERP, finance, HR, and operational systems.
• Translating business requirements into scalable, secure, and well-documented integration solutions.
• Leading end-to-end delivery: requirements gathering, development, testing, deployment, and ongoing support.
• Monitoring automation performance, proactively resolving incidents, and maintaining ≥99% workflow reliability.
• Identifying opportunities to reduce manual work and improve process efficiency across teams.
• Collaborating with Finance, IT, People Tech, and third-party vendors to gather requirements and deliver effective solutions.

About you:

• You have hands-on experience with automation and integration platforms such as n8n, Make.com, or similar orchestration tools — you can design, build, debug, and maintain complex workflows independently.
• You are comfortable working with REST APIs, webhooks, event-based systems, and data formats like JSON and XML.
• You are a strong analytical thinker and owner who can diagnose integration issues, identify root causes, and implement lasting fixes as well as manage your own backlog, align proactively with the teams that depend on your work, and take full accountability for outcomes.
• You have an eye for process improvement — you spot inefficiencies and turn them into automation opportunities.
• You communicate clearly, in fluent English, with both technical and non-technical stakeholders, and you know how to turn a vague business need into a concrete technical solution.
• Experience with ERP systems (such as Workday, SAP, or similar) is a plus, but not a requirement — we care far more about your integration and automation fundamentals.
• 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.

Web QA (Manual + Automation)

900 000 – 1 500 000 ₸

- Алматы
- Опыт 1–3 года

О вакансии

Мы ищем Fullstack Web QA в команду Core Team.

Core Team занимается разработкой и поддержкой общих и внутренних сервисов компании. У нас широкий стек технологий на языках программирования: php, js, go. Всегда стремимся улучшать процессы и пробовать новые подходы.

Стек технологий

• Регрессионное тестирование
• Функциональное тестирование
• CI/CD
• ООП
• Linux
• Codeception
• Автотестирование
• Playwright
• Allure
• Golang
• Symfony
• Docker
• Git
• SQL
• JavaScript
• PHP

Тебе предстоит

• Выполнять ручное и автоматизированное тестирование бизнес-логики, бэкэнда, фронтенда и интеграций;
• Разрабатывать и поддерживать в актуальном состоянии тест-планы, тест-кейсы, чек-листы и базу знаний по тестированию;
• Локализовывать и анализировать ошибки в коде и документации;
• Взаимодействовать с командой проекта: разработчиками, QA, менеджерами, дизайнерами, аналитиками и службой поддержки;
• Участвовать в планировании новой функциональности.

Мы ждём от тебя

• Уверенное знание теории тестирования и опыт применения знаний на практике;
• Практический опыт применения техник тест-дизайна;
• Опыт тестирования web приложений (Backend/API, Frontend);
• Опыт работы с баг-трекинговыми системами;
• Опыт автоматизированного тестирования от 1 года;
• Опыт работы с CI/CD системами;
• Опыт использования git;
• Понимания основных принципов ООП;
• Умение составлять простые SQL запросы;
• Опыт владения инструментами для получения и анализа логов;
• Знание основных консольных команд Linux.

Будет преимуществом

• Опыт программирования: PHP/JavaScript/Go/Python;
• Опыт работы с NoSQL БД;
• Опыт работы в unix системах;
• Опыт проведения нефункционального тестирования;

Responsibilities

• Onboarding of approximately 50 laboratory instruments onto the TetraScience Data Platform:
  • Development of instrument parsers as required
  • Design and development of data pipelines to support data flow and accessibility
  • Provide solution guidance to the Systems Integrations team on Integration solution guidance between TetraScience and Revvity ELN
• Activities Performed:
  • User Story creation & refinement
  • Raw-to-IDS, metadata attribution
  • instrument onboarding
  • parser development, testing, etc.
• Note that this does not include integrations of system with ELN, NNCD, Inventory management, etc

What we expect

• Expertise working with data from laboratory equipment/software, (e.g. LIMS, ELN, etc.)
• Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.
• 5+ years of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment.
• Proficiency with Python, R, SQL, and cloud-based architectures (AWS services, Snowflake, Databricks, Redshift).
• Expertise in ETL and DWH.
• Experience with NoSQL and graph databases.
• English language proficiency of B2+
• Strong analytical, problem‑solving, and stakeholder‑management skills, with the ability to translate discussions into actionable requirements.
• Experience in Data Platform integrations, preferably in Life Sciences/biotech domain

Nice to have

• Proficiency with Revvity's Signals ELN
• Expertise in TetraScience Data Platform

We offer

• Competitive compensation
• Remote or office work
• Flexible working hours
• Continuous education, mentoring, and professional development programs
• A team with an excellent tech expertise
• Certifications paid by the company

Senior DevOps 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.

About the team

DevOps teams include five areas — Cloud (AWS), Frontend DevOps, Backend DevOps, Core DevOps, and Kubernetes DevOps. We provide a stable, secure, and scalable infrastructure that powers all TradingView services, and we also support the tools and processes that accelerate product development and releases.

Responsibilities

• Rapid identification and resolution of infrastructure issues, ensuring stable system operation.
• Deployment, configuration, and launch of new services and applications.
• Design, implementation, and maintenance of CD pipelines to automate deployments.
• Working with monitoring and logging tools to improve system reliability.
• Collaboration with the development team to optimize deployment processes and infrastructure.

What makes you the perfect fit

• Strong hands-on experience with Kubernetes.
• Experience with AWS and a solid understanding of cloud infrastructure.
• Knowledge of Terraform for describing and automating infrastructure as code.
• Hands-on experience with Ansible for configuration automation.
• Strong Linux skills and system administration experience.
• Experience with Docker and application containerization.
• Proficiency in Bash for scripting and task automation.
• Knowledge of Python for writing utilities and automating processes.

Nice to have

• Multi-cluster or fleet management solutions
• Experience working with Jenkins
• Bare-metal Kubernetes

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

Who you are

Not explicitly defined as a separate section beyond the qualifications above; you are someone with strong Kubernetes and cloud experience, IaC, automation skills, Linux proficiency, containerization, scripting, and a collaborative mindset to support scalable infrastructure for a global user base.

Job responsibilities

• Design and operate cloud infrastructure at scale with hands-on experience deploying and managing containerized applications in Kubernetes.
• Work across a stack that includes Kafka, Druid, Airflow, Spark, Terraform, and Gitlab running on Kubernetes clusters across data centers.
• Manage infrastructure in the AWS ecosystem (EKS, DynamoDB, SNS, SQS, IAM, Lambda) and infrastructure as code through Terraform.
• Support microservices in a microservice event-driven architecture, ensuring high-performance Go services across distributed environments.
• Build reliable CI/CD pipelines that are fast, predictable, and low-maintenance.
• Migrate existing workloads to self-hosted solutions and introduce new tools to boost business results.

What you’ll do

Work on the Cloud Engineering team to maintain and scale the infrastructure behind Playtime Arcade and related adtech platforms, focusing on cost efficiency, reliability, and performance in a cloud-native, open-source-first environment.

Who you are

• 3+ years in DevOps, SRE, or Platform Engineering with design and operation experience of cloud infrastructure at scale.
• Hands-on experience deploying and managing containerized applications in Kubernetes.
• Deep in the AWS ecosystem with strong understanding of services like EKS, DynamoDB, SNS, SQS, IAM, Lambda.
• Experience with Terraform and managing infrastructure as code.
• Familiarity with microservice event-driven architecture, Go services, and distributed environments.
• Ability to build fast, predictable CI/CD pipelines.
• Comfort migrating workloads to self-hosted solutions and introducing new tools to improve outcomes.

Tech stack

Kubernetes, Kafka, Druid, Airflow, Spark, Terraform, Gitlab; AWS (EKS, DynamoDB, SNS, SQS, IAM, Lambda); open-source components such as Elasticsearch, Fluentbit, Prometheus, Grafana, MLFlow, and more as part of a cloud-agnostic approach.

Team description

Cloud Engineering team responsible for the core infrastructure powering adtech platforms, including real-time data streams, dashboards, ML pipelines, and ad delivery systems serving millions of users daily.

Requirements

• 3+ years in DevOps, SRE, or Platform Engineering.
• Hands-on Kubernetes experience deploying and operating containerized apps.
• Strong AWS knowledge (EKS, DynamoDB, SNS, SQS, IAM, Lambda).
• Terraform experience and IaC best practices.
• Experience with microservices and event-driven architectures; Go is a plus.
• Strong CI/CD capabilities.
• Willingness to work with self-hosted solutions and new tooling.

Benefits & perks

• Global team with relocation support to Hamburg, Germany.
• Impactful projects serving hundreds of millions of users.
• Fast-paced environment with frequent delivery cycles.
• Diverse, collaborative team from over 40 countries.
• Culture that values direct communication and shared wins.

What’s in it for you?

Own projects with impact on 770M users, ship solutions multiple times a day, collaborate across teams, enjoy a diverse global team, and have fun while solving meaningful problems.

Database Engineer

About You

The Database Engineer role is critical to building and evolving Chess.com's database infrastructure that supports millions of daily chess games, user interactions, and a large-scale social network. This position designs and builds high-performance, scalable database systems while driving automation, tooling, and architectural improvements across Chess.com's hybrid infrastructure combining bare-metal datacenters with cloud services. The role requires deep expertise in database internals, data modeling, distributed systems, and software engineering practices to build resilient systems that deliver optimal user experiences across Chess.com's global platform.

What you'll do

• Design and architect database systems optimized for Chess.com's specific workloads including real-time gaming, puzzle systems, and social graph traversal
• Build internal tooling and automation to improve database deployment, migration, and operational efficiency, simplifying work streams for the broader engineering organization
• Develop data pipelines and ETL processes for analytics, machine learning features, and cross-system data synchronization
• Engineer multi-regional database architectures capable of handling massive volumes of chess games, user data, and social network interactions with minimal latency
• Solve complex data modeling challenges including chess game storage optimization, puzzle attempt tracking, and large-scale social graph representation
• Drive database platform evolution evaluating and implementing new technologies, storage engines, and architectural patterns with a bias toward continuous improvement
• Build observability and performance tooling providing deep visibility into database behavior, query patterns, and capacity trends
• Collaborate with product engineering teams to design optimal schemas, access patterns, and data layer integrations, ensuring the right people have the information they need
• Implement infrastructure-as-code practices for database provisioning, configuration, and lifecycle management with high first-time-right quality
• Participate in on-call rotation to ensure 24/7 database availability and contribute to incident post-mortems

Required Skills

• 5+ years of professional database engineering experience with large-scale, high-availability database systems in production environments
• Expert-level proficiency with MySQL (Percona) including internals, storage engine behavior, replication topologies, and performance optimization
• Strong software engineering skills with proficiency in Python and/or Go for tooling, automation, and data pipeline development
• Experience designing and building data pipelines using streaming or batch processing frameworks
• Strong experience with Redis for caching architectures, pub/sub systems, and high-performance data structures
• Advanced Linux systems knowledge with understanding of kernel behavior, I/O patterns, and hardware optimization for database workloads
• Experience with distributed systems concepts including CAP theorem trade-offs, consensus protocols, and partition tolerance
• Proficiency with infrastructure-as-code tools (Terraform, Ansible, Pulumi) for database infrastructure automation
• Experience with monitoring and observability platforms (Datadog, Prometheus, PMM) for building database observability solutions
• Strong understanding of query optimization including execution plans, index design, and workload analysis

Preferred Skills

• Gaming industry experience with understanding of real-time gaming database requirements and low-latency data access patterns
• Deep MySQL internals knowledge including InnoDB internals, buffer pool tuning, redo/undo logs, and MVCC behavior
• Experience building database proxies or middleware (ProxySQL, Vitess, custom solutions) for connection management and query routing
• MySQL replication expertise including GTID-based replication, multi-source replication, and replication lag optimization
• Cloud database architecture experience with AWS (RDS, Aurora) and/or GCP (Cloud SQL, AlloyDB) for hybrid database strategies
• Experience with ScyllaDB and/or Cassandra for high-throughput, low-latency distributed workloads
• Knowledge of MySQL sharding and partitioning strategies for large-scale data distribution and query performance
• Experience building zero-downtime migration tooling (pt-online-schema-change, gh-ost) for schema evolution at scale
• Container and Kubernetes experience for database operator development and cloud-native MySQL deployments
• MySQL backup and recovery expertise including Percona XtraBackup, point-in-time recovery, and disaster recovery procedures
• Track record of accumulating wins — History of successful project delivery and measurable infrastructure improvements
• Open source contributions to MySQL ecosystem tools, drivers, or infrastructure projects

About the Opportunity

• This is a full-time opportunity
• We are 100% remote (work from anywhere!)

Responsibilities

• Develop high-quality Android applications using the Android SDK
• Collaborate with cross-functional teams to gather requirements, design, and develop features
• Write clean, maintainable, and well-documented code
• Troubleshoot and debug issues, providing timely resolutions
• Participate in project planning, estimation, and delivery timelines
• Stay up-to-date with the latest trends and best practices in Android development
• Contribute to the improvement of development processes and methodologies

Requirements

• 5+ years of experience in developing Android applications
• Strong experience developing applications using the Android SDK
• Proficiency in Kotlin and Java
• Experience with RxJava, EventBus, Dagger, Retrofit, and OkHttp
• Knowledge of MVVM and MVP architecture (including Moxy)
• Experience with Gson, JUnit, and Mockito for testing
• Solid understanding of OOP principles and data structures
• Strong knowledge of REST API integration
• Experience with Git for version control
• Good spoken English

Hydrogen Fuel System Engineer

- Kemble, UK

- Engineering

Join ZeroAvia at the forefront of zero-emission aviation as a Hydrogen Fuel System Engineer, playing a critical role in developing the next generation of gaseous and cryogenic hydrogen systems for aircraft. In this role, you will lead the end-to-end technical development of onboard hydrogen storage, distribution, and conditioning architectures—working at the cutting edge of engineering to enable safe, efficient, and certifiable hydrogen propulsion. From system design and integration through to testing, validation, and regulatory compliance, you will collaborate closely with cross-functional teams, suppliers, and partners to bring innovative hydrogen technologies from concept to flight-ready reality.

This position is integral to ZeroAvia’s mission to accelerate the transition to clean aviation by eliminating carbon emissions from flight. By advancing robust, high-performance hydrogen fuel systems and ensuring their seamless integration into aircraft platforms, you will directly contribute to making zero-emission air travel commercially viable at scale. Your work will help overcome some of the most complex engineering and safety challenges in hydrogen aviation, supporting certification and enabling a sustainable future for aerospace.

The Hydrogen Fuel System Engineer will:

• Lead the design and development of gaseous and cryogenic hydrogen fuel systems, including storage, distribution, and conditioning architectures.
• Support aircraft integration by defining system layouts, component packaging, and interfaces for onboard hydrogen systems.
• Manage supplier and partner relationships to ensure timely delivery and technical compliance of hydrogen system components.
• Define and execute verification, validation, and testing strategies across component, subsystem, and full system levels, including facility oversight.
• Perform system architecture, safety analysis (FHA, FMEA, FTA), and performance validation, driving design improvements and technical decisions.
• Ensure compliance with aerospace regulations, safety standards, and hazardous area practices (e.g. EASA/CAA, DO-160, ATEX, DSEAR).

• Degree in Mechanical Engineering (or related) with strong experience in gas systems, including hydrogen and high-pressure environments.
• Proven expertise in designing, integrating, and testing gaseous and cryogenic hydrogen fuel systems.
• Solid knowledge of thermodynamics, fluid/gas dynamics, and system performance analysis.
• Hands-on experience with pressure testing, leak detection (e.g. helium), and validation of fluid and vacuum systems.
• Experience applying system safety and reliability methods (FHA, FMEA/FMECA, FTA) and using engineering tools (e.g. ANSYS, MATLAB, Python, CAD).
• Strong understanding of hydrogen safety, cryogenic systems, and relevant regulatory frameworks; aerospace or transport sector experience is advantageous.

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 – to help you manage your work-life balance.
• 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.

WHAT YOU'LL DO

• Lead and grow a team of AppSec, Infra Sec, and Endpoint Security engineers (currently 3 engineers).
• Own the end-to-end security operations function: detection, monitoring, incident response, and remediation across cloud, application, and endpoint layers.
• Define and execute operational roadmaps for Application Security, Infrastructure Security, and Endpoint/Office Security.
• Drive adoption and administration of security tooling: EDR, SIEM, DAST/SAST, WAF, VPN, DNS security, and Okta.
• Oversee cloud security posture across AWS environments.
• Run and coordinate security incident investigations: root cause analysis, containment, remediation, and post-mortems.
• Partner with Infrastructure, IT Operations, and Engineering teams to implement and improve security controls.
• Maintain security documentation: runbooks, configurations, playbooks, and operational procedures.
• Support compliance requirements (SOC 2, ISO 27001) from the technical security side.
• Represent cyber operations in cross-functional initiatives and contribute to strategic planning with the Head of Security.

TO SHINE IN THIS ROLE

• You'll need: 7+ years in technical security roles across AppSec, Infra Sec, or Endpoint Security.
• 3+ years in a lead or management role with direct reports.
• Experience with developer security tooling: SAST, SCA, secrets scanning, and DAST integration into CI/CD pipelines.
• Hands-on experience operating and administering security tooling: EDR, SIEM, DAST/SAST, WAF, VPN, and DNS security platforms.
• Strong AWS cloud security knowledge: IAM/SSO, Security Hub, GuardDuty, CloudTrail, and AWS Config.
• Solid understanding of application security fundamentals: OWASP Top 10, SDLC security integration, and threat modelling.
• Experience with endpoint security: macOS and Windows hardening, MDM (Jamf or Microsoft Intune).
• Ability to lead security incident response: coordinating teams, driving root cause analysis, and communicating findings clearly.
• Strong communication skills — able to translate security risk into business terms for non-technical stakeholders.
• Fluent English communication skills, both written and verbal.

WHAT WE OFFER

• Hybrid onboarding to start work remotely and relocation support for you and your family.
• Comprehensive health insurance for both you and your family.
• Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
• Flexible benefits package to tailor perks that matter most for you.
• Hybrid work and generous leave options to prioritize your work-life balance.
• In-office perks, including free meals and snacks.
• Company-funded sport activities, annual offsites and team-building events.
• Manychat is an Equal Opportunity Employer with a commitment to diversity and inclusion.

Who you are

This section is embedded in the responsibilities and qualifications above; please refer to the requirements/qualifications listed for the role specifics.

Tech stack

Includes AWS security services (IAM/SSO, Security Hub, GuardDuty, CloudTrail, AWS Config), EDR, SIEM, DAST/SAST, WAF, VPN, DNS security, Okta, and general security tooling.

SDET Mobile

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.

About the team

Mobile SDET team responsible for the sustainable quality of TradingView's iOS and Android applications. We are an enabler — not a bottleneck. Our scope goes beyond writing autotests: we own the test automation infrastructure, define standards, integrate quality tooling (Allure TestOps, CI/CD, reporting), and empower product teams to ship features confidently and own quality themselves.

What you'll do

• Build and maintain test automation infrastructure for iOS and Android: CI/CD pipelines, test frameworks, reporting
• Define and evolve standards for writing autotests on iOS and Android (structure, patterns, code style, reviews)
• Maintain a unified testing framework and reusable components (helpers, page objects, fixtures, page-stable APIs)
• Help product teams with tricky UI cases, flaky tests, and non-trivial automation scenarios
• Integrate and roll out quality tools across product teams (Allure TestOps, analytics, observability, metrics)
• Develop and improve Fastlane / Ruby pipelines for mobile CI/CD
• Mentor developers and QA engineers in product teams on automation best practices
• Drive flaky-test management and stability improvements end-to-end
• Pilot, research, and roll out new mobile QA tooling (test management, performance, accessibility)
• Share knowledge and best practices with the wider SDET and QA community

What makes you the perfect fit

• 3+ years of experience as a Mobile SDET, Mobile QA Automation Engineer, or in a similar role
• Strong hands-on experience with iOS (XCUITest, XCTest) and Android (Espresso, JUnit) test automation
• Proficient in Swift and Kotlin for writing maintainable autotest code
• Experience with Ruby and Fastlane for mobile CI/CD pipelines
• Solid understanding of mobile testing methodologies and the test pyramid
• Experience designing and maintaining test frameworks and reusable test components
• Experience integrating and operating test reporting/management tooling
• Experience in diagnosing and reducing flakiness in mobile test suites
• Strong communication and collaboration skills: able to work across QA, product, and engineering teams
• Self-driven, able to define and prioritize work in an enabler role without daily oversight
• Nice to have: Experience in finance or trading domain; Familiarity with TradingView as a product; Experience with mobile device farms (self-hosted or commercial); Background in performance, accessibility, or observability tooling for mobile; Prior experience as a tech lead or mentor in an SDET / automation team

What we offer you

• Flexible working hours and a hybrid work format
• A well-equipped office 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

Who you are

• Self-driven and collaborative, able to work across QA, product, and engineering teams

Tech stack

• iOS: XCUITest, XCTest
• Android: Espresso, JUnit
• Swift, Kotlin
• Ruby, Fastlane
• Allure TestOps, CI/CD tooling

Team description

Mobile SDET team responsible for the sustainable quality of TradingView's iOS and Android applications. We are an enabler — not a bottleneck. Our scope goes beyond writing autotests: we own the test automation infrastructure, define standards, integrate quality tooling (Allure TestOps, CI/CD, reporting), and empower product teams to ship features confidently and own quality themselves.

Job Responsibilities

• Conduct System Safety Analyses in accordance with ARP4761A, including FHA, PSSA, SSA, FTA, FMECA, CCA, PRA, and ZSA
• Develop and execute reliability predictions and analytical models to support RAM targets and certification objectives
• Define Built‑In‑Test (BIT) coverage and system health monitoring requirements, embedding observability into system architectures
• Generate clear, verifiable safety and reliability requirements aligned with programme and airworthiness objectives
• Define and recommend reliability test strategies, including RDGT and qualification/demonstration approaches
• Analyse in‑service reliability data to drive product improvement and inform maintenance and spares strategies
• Develop and communicate robust safety arguments for complex systems (e.g. fuel cell technologies) to internal and external stakeholders
• Support certification activities, including regulatory engagement, familiarisation meetings, and technical reviews

Experience & Qualifications

• Bachelor’s or Master’s degree in Engineering; aerospace, safety, or reliability specialisation preferred
• Minimum 5 years’ experience in safety and/or reliability engineering within aerospace or a regulated industry
• Strong knowledge of ARP4761A safety assessment processes (e.g. FHA, FTA, FMEA/FMECA, CCA)
• Proven experience performing reliability analyses, including prediction, FMECA, FTA, and PoF
• Working knowledge of reliability standards (e.g. MIL‑HDBK‑217F, FIDES, Telcordia)
• Experience defining BIT strategies and system health monitoring architectures
• Familiarity with ARP4754 systems development processes and safety‑critical certification frameworks
• Understanding of aerospace certification (e.g. CS‑23, CS‑E) and awareness of DO‑178C / DO‑254

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.

Who you are

• Not explicitly enumerated beyond qualifications; see Experience & Qualifications above.

Tech Stack / Team Description

Not explicitly enumerated; references to system safety analyses, RAM, BIT, and safety/reliability engineering within aerospace contexts.

Engineering Manager, Truework

The Truework Team at Checkr is looking for a motivated Engineering Manager to lead our Mortgage Verifications Team. This team is responsible for building and launching new products, customer-facing experiences, and enhancing the Truework platform. As the Engineering Manager for this team, you will work hand-in-hand with product managers and key stakeholders to create the software and experiences that delight our customers. The projects you’ll be working on are high impact and scale: you’ll be advancing our architecture and systems to lead Truework and Checkr into the next generation of product offerings. The decisions you make will impact potentially millions of consumers every year, and help businesses make fast, informed, and safe decisions.

What you’ll do

• Drive technical vision for the team that motivates and inspires the team for the next chapter
• Partner closely with product management to build new features and enhance existing ones
• Work with the team to reduce technical debt and sustainably scale our architecture
• Build relationships with customers and drive results with them
• Nurture and grow team members based on their career aspirations
• Hire the best of the talent and continue to raise the bar for the team
• Represent the team in planning and product meetings
• Optimize engineering processes and policies to drive velocity and quality

What you bring

• 4+ years as an engineering manager
• 8+ years as an engineer
• Strong skills in critical thinking, decision making, problem-solving, and attention to detail
• Experience managing quality incidents as both a technical lead and communication lead
• Experience working on products at scale, and understanding the data, legal, human impact, and technical nuances of supporting highly regulated products
• Strong experience with TDD, pair programming, and agile methodologies
• Deep understanding of service architecture and system design as well as lean software development principles
• Ability to make high-level prioritization decisions quickly and thoughtfully
• Able to develop inclusive teams to foster growth and diversity
• Humility, openness to feedback, and eagerness to learn
• Experience with machine learning and AI is a plus
• 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

Pay Transparency Disclosure

We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website. On-target Earnings Or Base Salary range (San Francisco, CA) $233,000 — $274,000 USD

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 at hub locations in Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile
• In-office days with lunch provided and commuter stipend
• A relocation stipend may be available for those willing to relocate to a Checkr hub location

Senior Data Engineer

Major responsibilities:

• Design, develop and optimize scalable ETL processes and data pipelines
• Develop and maintain BI solutions, data marts and analytical datasets
• Design and optimize complex SQL scripts, procedures, and data processing workflows
• Manage risks and dependencies by identifying technical and delivery threats such as data quality, legacy alignment and capacity, communicating them to stakeholders, and proposing pragmatic mitigations early
• Align stakeholders by defining and agreeing on approaches and trade‑offs, presenting options and recommendations, and running demos to validate progress and demonstrate value
• Provide technical leadership with hands‑on delivery by reviewing and enforcing architecture, designs, code and SQL/notebooks, and by implementing critical components to ensure consistent quality.

We'd love to hear from you if you have:

• Minimum of 5 years of experience in data engineering, with at least 2–3 years focused on the Azure cloud ecosystem
• Expert in SQL with proven ability to write and optimize complex analytical queries, stored procedures and functions
• Deep knowledge of PySpark and Python for large-scale data processing and building ETL/ELT pipelines
• Understanding data organization principles within a Data Lake (Raw, Silver, Gold layers)
• Experience in administration and development within managed instance environments
• Knowledge of data modeling methodologies (Kimball/Inmon), understanding of Slowly Changing Dimensions (SCD), and history management
• Deep understanding of enterprise Data Warehouse architecture, including the design of dimension and fact tables, and the creation of aggregated data layers
• Financial/Insurance Data Experience, understanding of month-end close processes, data reconciliation, and financial calculation logic
• Experience in performing code reviews, designing pipeline architecture, and overseeing the technical quality of the team's output
• Experience working in Scrum teams, with the ability to decompose high-level business goals into specific technical tasks (User Stories/Tasks) and manage the delivery plan
• English level B2 or higher.

Nice to have:

• Experince orchestrating complex task chains in Azure Data Factory
• Knowledge of the insurance domain including premiums, commissions, premium taxes, and actuarial calculations
• Experience with BI tools such as Power BI and understanding how end users consume data from a DWH
• Practical experience performing lift-and-shift migrations of logic from legacy databases to a cloud-based warehouse
• Azure certification preferred, for example Microsoft Certified: Azure Data Engineer Associate (DP-203).