Remote 💻 Development Jobs

Support Engineer

Key qualifications

• 2+ years of experience in a Support Engineer, Technical Support, or similar role
• Strong analytical skills and ability to investigate both technical and business-related issues
• Familiarity with monitoring tools and incident tracking systems
• Experience writing clear and structured tickets/tasks for product and engineering teams
• Solid communication skills in English and Russian (verbal and written, minimum Intermediate)
• Proactive, detail-oriented, and customer-focused mindset

Additional skills (nice to have)

• Background in fintech, mobile apps, or SaaS products
• Hands-on experience with cloud platforms (Azure preferred)
• Knowledge of SQL or other querying tools for root-cause analysis
• Experience working with ticketing systems (e.g., Zendesk, JIRA)
• Ability to prepare documentation and internal knowledge base articles

Responsibilities and scope

• Provide technical support to the Customer Support team by investigating reported issues
• Analyze and reproduce errors (both business logic and technical)
• Create clear and actionable tasks for development and product teams
• Monitor system dashboards and proactively identify potential incidents
• Track open issues, escalate when needed, and ensure timely resolution
• Collaborate closely with Customer Support, Product, and Engineering to improve processes and product quality
• Contribute to documentation and continuous improvement of support workflows

What we offer

• Full-time or part-time position
• Salary range $2000 – $3000 Gross
• Flexible vacation policy
• Full remote
• Opportunity to work in a diverse, mission-driven, and fast-growing fintech company
• Career growth potential

Who you are

• Customer-focused with proactive, detail-oriented mindset
• Strong communicator in English and Russian

AI Engineer (m/f/d)

AI Engineer (m/f/d) | Jobs at BIT Capital GmbH Skip to main content English English Back to all jobs AI Engineer (m/f/d) Berlin HQ Full-time Permanent employee Apply for this job

Your Role & How we work

We are hiring an AI Engineer (m/f/d) to holistically develop BIT Capital's LLM and agentic Artifical Intelligence capabilities: from the data science that turns data into investment signals, to the engineering that powers our financial intelligence agents. A strong initial focus is the build-out of “Aion” - our agentic research platform - that has first-class access to our data, models, and tools and is already in mainstream production, used by the investment team every day. Beyond, your mandate covers everything LLM- and agent-related across BIT, from research products for the investment team to internal tools in Sales, Marketing, Operations, and client-facing experiences. You work autonomously, from first scoping to shipping, and you self-select the use cases and projects where you can have the most impact. You report to our Carlos Bielsa (Chief AI Officer & Managing Partner) and work side by side with Vlad Gheorghe, our second AI Engineer, acting as our internal expert as the frontier of AI moves. Our stack is Python, SQL, AWS, and Databricks, with models and agentic frameworks from the leading AI labs (Anthropic Managed Agents, Codex). Your priorities in this role will thus include:

• Investment signal pipelines. Design and ship LLM-based extraction pipelines (prompts, retrieval, model selection, evaluations) that turn text and data into investment scores, alerts, signals, and insights reliable enough to drive decisions.
• Agentic systems behind “Aion”. Build and evolve the agentic systems that power Aion, along with the research skills and Python sidecars that agents execute.
• Data and tool integrations. Build the integrations that give agents performant, safe access to BIT's data and capabilities.
• Evaluations and model selection. Build automated and human-in-the-loop evaluations, regression tests, and monitoring that track accuracy, hallucination rates, latency, cost, and model uncertainty. Benchmark and select the right model per task, including open-source options.
• LLMOps at scale. Establish the LLMOps practices that keep these systems reliable at scale: versioning of prompts, configs, and models; CI/CD; error handling; fallbacks; and cost control.
• Frontier into production. Stay at the frontier of LLM and agentic AI techniques and bring new ideas into production rather than leaving them as experiments.

The experience you bring

You have a solid data science and engineering background, with at least 2 years building software, data systems, or ML in production. You adopt the mindset of a product-minded software engineer. You have shipped your own apps and agents and can point us to a public project, repo, or product. You are fluent with the current LLM and agentic frontier, with hands-on experience using leading agentic systems (Claude Code, Anthropic Managed Agents, Codex, open-source agentic loops). You have strong Python and SQL skills with clean engineering practices, plus cloud infrastructure experience (AWS strongly preferred). You bring production discipline for probabilistic systems: evaluations, regression tests, monitoring, reproducibility, and cost awareness. A scientific approach to turning LLMs into signals and scores (ground-truth datasets, train/test/iterate) is a plus; a data science or ML background helps but is not required. You have a genuine interest in investing, or at minimum a strong drive to learn about our domain quickly and deeply, paired with sharp general intelligence and clear systems thinking.

2 reasons why you should not apply

• You mainly use AI tools for your own productivity and have not yet taken systems into production. This role is about building and shipping AI that the whole firm relies on, so prior production experience matters here.
• You are looking for a finished, stable AI stack to operate and maintain. Our systems evolve quickly as the frontier moves, so you will spend much of your time building and reshaping them rather than keeping a fixed setup running.

Your mindset

• You're an "AI Native": you use agentic AI as core infrastructure in how you work, not as a novelty.
• You're a "Builder": you ship working systems and improve them continuously rather than leaving ideas as experiments.
• You blend data science rigor with engineering pragmatism, with care for correctness, reliability, and cost.
• You're passionate about AI, emerging technology, and investing, and you pair technical depth with strong product judgment.
• You manage for outcomes, own problems end-to-end, and communicate clearly on progress, tradeoffs, and risk.

What we offer

• Work at the frontier of applied AI in asset management, with petabytes of data and the most cutting-edge tools.
• Real technical direction and ownership from day one, as the internal expert while the frontier moves.
• Contribute to a unique success story in European asset management, surrounded by the most knowledgeable experts in the industry.
• A motivated, highly international team (15 nationalities) that enjoys getting together in person in Berlin and strongly supports each other.
• Flat hierarchies and direct interaction with our management team.
• Competitive compensation, relocation, and visa support if needed.

About us

BIT Capital combines the expertise of an industry leader in asset management with the agility of a young tech company. With its investment products, BIT Capital enables investors to participate in the future growth of the technology-driven world. The guiding principle is always to be “Ahead of the Curve" - anticipating technology mega trends and identifying the major investment opportunities of the future before they emerge. The BIT Capital team expertly navigates a constantly evolving landscape of complex technology sectors, identifying tomorrow's technology leaders at an early stage on behalf of its investors. The experienced team currently consists of around 40 professionals, including an investment team of 20 financial market experts, sector specialists, data engineers and software developers. The flagship fund, BIT Global Technology Leaders, has received multiple performance awards and is one of the highest performing equity funds in Europe. As part of our recruitment process, we use digital tools that incorporate AI-supported functionalities to structure and review application materials and to support the selection process. The results are used solely as support for the initial screening and are always reviewed by responsible personnel. Decisions regarding an offer of employment or a rejection are not made solely by automated means.

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Principal Software Engineer - Accelerator Tools-Engineering

The Central Technology Team within Arm develops key technologies which will form the foundation of future products.

You will join a multinational, multifaceted, collaborative and highly motivated Machine Learning Hardware Architecture team in Central Technology to help craft the direction of Machine Learning in Arm IP designs.

Job Overview:

You will be working on a team that enables the capabilities of Arm's machine learning accelerators by creating tools that push the limits of the architecture. These tools are used across the architecture group to demonstrate that proposed features are suitable for implementation and can be unlocked by the software teams.

Responsibilities:

• Develop tools that expose proposed hardware features and evaluate the resulting performance.
• Work with hardware architects to define the software interfaces to new features.

Required Skills and Experience :

• Strong programming experience in C++ and Python.
• Solid understanding of computer architecture.
• Good written and verbal communication skills.
• Experience developing software interfaces on large projects.
• Ability to understand accelerator designs.

“Nice To Have” Skills and Experience :

• Familiarity with Machine Learning frameworks.
• Experience working with architects and modellers to test proposed features.
• Understanding of memory systems and hierarchy.

In Return:

You will join an established and experienced team working with innovative technologies in an agile environment which requires proactivity, multifaceted approaches to problem solving and creative thinking.

Please note that a relocation package (including visa sponsorship support) is available for this role, for candidates who require it.

Engineering Manager

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

We are looking for an experienced Engineering Manager to help develop and manage one of our key core teams. In this role, you will work closely with stakeholders (often engineers from other teams), design resilient distributed architectures, translate business requirements into clear technical tasks, conduct code reviews, and continuously improve the product. You will also contribute to coding, although hands-on development is not the primary focus of the role. If you enjoy collaborating with others, want to influence business outcomes, and are eager to explore new technologies and tools, we would be happy to meet you.

What you'll do

• Responsibilities
• Analyze incoming requests for new features, validate them, and translate them into clear technical requirements aligned with product and business goals
• Collaborate with other development teams to ensure proper integration of solutions and reliable delivery of functionality
• Work with the project manager to define the technical approach to implementing tasks and align on timelines
• Participate in hiring: conduct technical interviews and help onboard new developers
• Oversee the design and development of backend and frontend components, ensuring architectural consistency of solutions
• Participate in code reviews and contribute to the development of the team’s engineering practices
• Hold regular 1:1 meetings and performance reviews, and support the professional growth of the team
• Work with DevOps engineers on the release process and CI/CD setup

What makes you the perfect fit

• 6+ years of experience in backend development
• 2+ years of experience as a Tech Lead or Engineering Manager (architecture, team motivation, and growth)
• Strong communication skills and the ability to work effectively with cross-functional teams
• Solid understanding of distributed systems design patterns and network protocols
• Clear understanding of the full software development lifecycle
• Strong backend development skills in Go
• Experience with CI/CD and DevOps tools (Docker, Kubernetes, Jenkins)
• Experience working with both relational and non-relational databases
• Hands-on experience designing APIs and microservice architectures
• English proficiency at B1 level or higher
• Strong command of Russian is required

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

Department: Technology

Locations

Cyprus, Tbilisi

Who you are

Engineering Manager capable of leading a core team, designing distributed architectures, translating business needs into technical tasks, and driving delivery with a hands-on but leadership-focused approach.

Senior QA Engineer (f/m/d)

Location: Hamburg

Employment Type: Full time

Location Type: Hybrid

What’s in It for You?

• 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.

Who You Are

You have 3+ years in QA with hands-on mobile testing experience. You test more than UI flows, you dig into the full stack, from SDK behavior on device to the backend systems behind it, using tools like Kreya and k9s to investigate services, and Kibana and Grafana to monitor system health. You're comfortable working with AWS services and understand how container orchestration (Kubernetes, Docker), databases, and messaging systems (Kafka, SQS) behave under real conditions.

What You’ll Do

• Own testing end-to-end: develop and execute comprehensive test strategies (regression, smoke, and beyond) and take ownership of post-release and post-implementation validation. You don’t just report bugs—you understand the system well enough to know why they happen.
• Test more than UI flows; investigate SDK behavior on device and backend systems behind it.
• Collaborate closely with engineers; participate in feature requirement discussions and contribute product-related insights based on testing findings. Read and write technical documentation.
• Build and maintain automated test suites (Appium, Playwright) alongside manual testing responsibilities.

Requirements & Qualifications

• 3+ years in QA with hands-on mobile testing experience.
• Experience testing full stack: mobile SDKs, backend services, and data pipelines.
• Proficiency with automation tools such as Appium and Playwright.
• Experience with monitoring and observability tools like Kibana and Grafana.
• Familiarity with AWS services, Kubernetes, Docker, Kafka, and SQS.
• Strong collaboration skills and ability to contribute to technical documentation.

Team Description

The User Experience team drives adjoe Ads—our programmatic in-app advertising platform. The team handles both the SDK side (Kotlin/Swift) running inside publisher apps and the analytics side (dashboards, data frameworks) powering real-time revenue performance and data quality assessments. The environment requires maintaining stability and performance within external apps and devices.

Benefits & Perks

• Global relocation support to Hamburg for eligible candidates.
• Opportunities to work on high-impact platforms reaching hundreds of millions of users.
• Collaborative, diverse, and international team culture.

Graduate software engineer (Madrid)

Madrid (Spain)

Permanent or fixed-term

A few examples of your responsibilities

• Build software that matters. Take real ownership from idea to production, creating systems used by millions and evolving them into products at scale.
• Amplify your impact with AI. Integrate the most powerful AI tools directly into your development workflow—design, implementation, testing, and documentation—to move faster while maintaining high standards for correctness, reliability, and maintainability.
• Master your toolkit. Work across diverse stacks with end-to-end ownership, choosing the right technologies for each challenge. From monoliths to microservices, gRPC to REST, Kubernetes to Docker, Python to Rust—you’ll apply technologies thoughtfully, focusing on depth and purpose rather than trends.
• Simplify relentlessly. Question every layer of complexity. Improve architectures, pipelines, and codebases to build systems that are simpler, more scalable, and easier to maintain.

What we look for

• Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
• Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
• Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
• Proficiency in English. You read, write, and speak proficiently in English.

What we offer

• Incredibly talented, entrepreneurial teams. You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
• An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
• Competitive pay and access to equity in the company. Typically, we offer individuals with limited experience an annual salary of £85,797 in London and €66,065 elsewhere in Europe. For a candidate that we assess as possessing considerable relevant experience, the salary on offer tends to be between £112,189 and £250,512 in London, and €107,837 and €188,848 elsewhere in Europe. Compensation varies by location and expected impact, and grows rapidly as you gain experience and translate it into greater contributions. For individuals who demonstrate exceptional capability, we may offer compensation that extends beyond the usual ranges to reflect their higher expected impact. If you're offered a permanent contract, you'll also be able receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut.
• All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.
• A flexible start date and part-time options. You don't need to wait until graduation to apply. We offer flexible start dates and the possibility to begin part-time, transitioning to full-time as you complete your degree. Many Spooners joined before graduating and progressively took on greater responsibility, with arrangements that allowed them to do so without compromising their education.

Top-tier Software Engineer

Location: Lisbon, Portugal

Job Type: Full-time

Experience Level: Mid-level Job

What you'll do

• Develop high-quality software solutions as part of a fast-moving team.
• Collaborate with product, design, and other engineering teams to deliver robust features.
• Write clean, maintainable, and well-tested code.
• Participate in code reviews and contribute to architectural decisions.
• Identify and address performance and reliability issues.

Who you are

• Proven experience as a software engineer (mid-level or higher) with a track record of delivering technical projects.
• Strong programming skills and familiarity with modern development practices.
• Hands-on approach with the ability to work independently and in a team.
• Clear communicator who can explain technical concepts to non-technical stakeholders.

Requirements

• Experience in building scalable web or backend services.
• Proficiency in at least one major programming language used in the stack.
• Experience with modern development tools, testing, and deployment pipelines.
• Ability to work in Lisbon or remotely within the Lisbon time zone.

Tech stack

• Go, Python, or other backend languages
• Cloud platforms and containerization (e.g., Docker, Kubernetes)
• Databases and data modeling
• CI/CD tooling and automated testing

Team description

Engineering team at Joom, collaborating with product, design, and other engineering squads to build and maintain high-quality software.

Benefits & perks

• Health insurance from day one, including dental and emergency care
• Relocation support for employees and their families
• Office-first model with flexible arrangements
• Professional development and knowledge sharing opportunities
• Well-equipped offices with amenities and team activities

Staff Python Engineer, Document App Track

Currently, PandaDoc is seeking a Staff Backend Engineer to join our Document App Track . The role is part of the Document Domain team , which owns one of the most critical components of our platform — the document itself . While primarily focused on the Document Domain team, this engineer will also have an impact across the area and track level . The team is responsible for the core functionality that powers document creation, editing, and management across the product. The Staff Engineer will contribute to the long-term domain excellence strategy , including AI Transformation of the Development Workflow , and collaborate with other tracks to deliver the best product solutions while maintaining technical excellence . The responsibilities include improving reliability , maintaining high-quality standards , enhancing developer experience , and evolving the document platform to support new product capabilities .

Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you're a Panda, and we want you to join our team.

What you'll do

• Drive the long term evolution and technical strategy of the Document Domain, balancing product needs, scalability, reliability, and developer experience.
• Champion AI-driven development workflows, mentoring engineers and improving the effectiveness, quality, and productivity of the engineering organization.
• Lead cross-team initiatives to deliver best-in-class document capabilities while aligning architecture and engineering practices across the track.

Who you are

• At least 6+ years of development experience with Python.
• Strong knowledge of relational databases (SQL, migrations, optimization), message queues (RabbitMQ, NATS, Kafka), event-driven systems, DDD fundamentals, and asynchronous programming.
• Be fluent with AI workflow for development in order to leverage your own productivity and impact on the productivity of other team members.
• Mentoring other engineers within the company to ensure their tech growth.
• Working on domain strategy, being able to identify challenges and make solid plans for a horizon of one year.
• Good understanding of the development cycle from requirements analysis and deployment to application monitoring.
• Extensive hands-on experience in developing applications.
• Able to communicate technical ideas clearly in English across engineering teams, both verbally and in writing.

Tech stack / stack

Our stack: Microservice fleet around a large monolithic application in Django PostgreSQL, Redis, Memcached Python, Django Amazon Web Services Docker, Kubernetes Kafka, NATS AsyncIO Grafana Monitoring Stack: Loki, Tempo, Mimir, Grafana

Team description

Document Domain team responsible for core document creation, editing, and management functionality; collaboration across tracks to deliver best-in-class document capabilities while maintaining technical excellence.

What we offer

• Global & Flexible Work: We’re a global, remote-first company, but we welcome you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv to connect with colleagues whenever it suits you.
• Ownership & Growth: Work on a stable yet growing SaaS product, offering an agile environment, significant ownership, and a clear path for professional development within the Platform Engineering domain.
• Culture & Balance: Enjoy an honest, open culture that values constructive feedback and promotes a strong work-life balance within a supportive, distributed team.
• Compensation: Competitive compensation package and flexible contract arrangements tailored to your location and experience (If you are located in Poland the salary range is 30,400 PLN to 45,500 PLN gross monthly)

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

Senior Backend Developer (Node.js) - Job Description

What you'll do

• Developing crypto exchange aggregator.
• Maintaining and evolving the current architecture.
• Participating in new projects and infrastructure code development.
• Writing tests.
• Contributing to task planning and estimation.
• Managing the release process to production.

Who you are

• Have experience in backend development using Node.js and profiling applications in production.
• Have a solid understanding of software design principles and patterns.
• Understand common application security vulnerabilities and know how to prevent and mitigate them.
• Can write complex and efficient SQL queries without relying on an ORM, and optimize them when needed.
• Have experience optimizing applications to handle increasing load and traffic.
• Have experience with monitoring, logging, and debugging production issues.
• Have experience writing unit and end-to-end (E2E) tests.

Tech Stack

• Node.js, JavaScript, TypeScript.
• Nest.js - the primary framework.
• Microservices with clean architecture.
• No legacy code.
• TypeORM - for interacting with database.
• PostgreSQL/Redis.
• AWS - all projects are deployed in the cloud.
• Github/Github Actions - for VC and CI/CD.

What We Offer

• Stability, development, participation in the future unicorn's growth.
• Remote work from anywhere in the world.
• Competitive salary in EURO/USDT.
• Unlimited vacation.
• Birthday presents.
• Compensation for the purchase of necessary technical devices for the work.
• Paid sick leaves.

Feel free to send your CV to Petr - ppolevikov@tangem.com

Senior Backend Developer - KYC

What You Will Be Doing

• Development of data processing algorithms related to remote identification / authentication of individuals (both product and technical).
• Improvement and development from scratch of internal tools for compliance officers.
• Test driven development and A/B testing.
• Optimization and automation of CI/CD pipelines to increase reliability and deployment speed.
• Monitoring, troubleshooting, and performance tuning of cloud infrastructure and distributed systems.

About You

• Good command of the English language
• Familiarity with our development stack
• Understanding of product and a passion for building software that provides a great experience
• Experience developing clean, high-quality code and automated tests to verify its operation
• Team player, strong communication skills, and empathy
• Demonstrated strong analytical and problem-solving skills

What We Offer

• Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours.
• True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team.
• Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal.
• Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online.
• Compensation. We offer fair and transparent pay, benchmarked to the market.
• Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide.
• Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums.
• Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together.
• Getting you set up. We make sure you have access to the tools and hardware you need to do your work well.
• Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun.

The Hiring Stages

1. TA screening
2. Hiring Manager Interview
3. Final Interview

Senior Backend Developer (Java)

Join Onde team🚀

• Backend | Java
• Full-time

Apply now

Description:

B2B product with 400+ business partners in 90 countries.

A team of 140+ bright-minded professionals eager to challenge everything you know.

Does that sound like a dream place to you? Read up, buddy!

At Onde, we give mobility entrepreneurs everything they need to launch, scale, and take on global giants - from white-label tech to marketing support.

To do that right, we’ve got:

• 14 years of expertise in developing an all-in-one platform
• Amazing team of specialists working and playing hard
• Opportunity for all employees to influence the product and take initiative
• Focus on quality, no strict deadlines
• Flexible management
• Healthy work-life balance

Now we are looking for an experienced Senior Backend Developer (Java) to join Onde 🚀.

We expect:

• 7+ years of experience in backend development
• Understanding of concurrency, asynchronous systems and distributed system development
• Strong problem-solving and debugging abilities, product thinking
• Commitment to write clean and effective code (including refactoring old one)
• Experience with JavaRx or Kotlin is a plus
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Applied Mathematics or a related technical field

You’re a perfect match if you can:

• Learn new technologies and approaches quickly
• Bring new ideas and back them with strong statements
• Advocate for your vision with cross-functional teams
• Understand basic architectural principles: layered architecture, microservices, and event-driven architecture. It is essential to understand key features and drawbacks of these approaches
• Go deep in used technologies
• Write code without frameworks
• Write extensible and simple code
• Implement a feature at every stage of development: technical proposal, writing code, fixing deployment scripts if needed, monitor the results in production
• Instrument the application and identify bottlenecks
• Find and fix the root causes of performance and memory issues
• Assure the solution's quality in collaboration with QA engineers

As a team member you will:

• Design and implement solutions for product features with release on production - you can see real result of your work within several days
• Write new and refactor existing REST and WebSocket API for different platforms
• Troubleshoot and resolve issues from production and test environments
• Cover your code with unit and integration tests
• Participate in code reviews and contribute to best practices in software development

What will you work with?

• Java 21, RxJava 3, Redis, Apache Cassandra, Apache Pulsar, Apache Zookeeper, Netty, Protobuf, WebSocket and REST API, Kotlin, Mockk

What does Onde offer?

• Work with code that doesn't contain duplicates with single trunk of product (no branches for different custom developments)
• Adaptive and continuously evolving development methodologies
• Fully setup continuous delivery processes

Your interviewers

• Anfisa Mikhalitsyna — Talent Acquisition Specialist
• Anton Pus — Backend Developer
• Nikolai Borisov — Team Leader&Backend Community Leader
• Kseniya Lobach-Shadt — Head of Talent Management

Benefits

• Medical insurance
• In-house English courses
• Flexible working schedule
• Gifts for special occasions
• An opportunity to bring all your daring ideas to reality
• Partial compensation of gym tickets and other sports
• A possibility to work with the latest technology stack
• Conferences, events, and courses being compensated, too
• Different corporate activities both online and offline to have fun

Join our team!

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Send us your CV and we will get back to you ASAP.

Project description

We are seeking a highly experienced Solution Architect to design, guide, and govern scalable software solutions across the organization—ranging from individual components to fully integrated enterprise platforms.

This role requires strong expertise in AWS cloud technologies, AI infrastructure, and advanced AI governance practices, ensuring solutions align with business strategy, security standards, and responsible AI policies.

Responsibilities

• Architecture & Solution Design
• Design end-to-end architectures spanning:
• Component-level services (microservices, APIs)
• Domain platforms
• Enterprise-wide ecosystems
• Define architecture patterns, standards, and reusable frameworks
• Translate business requirements into scalable and secure technical solutions
• Ensure interoperability across systems, data layers, AI services, and platforms
• Enterprise Architecture Strategy
• Develop and maintain enterprise architecture roadmaps
• Align IT strategy with business goals and digital transformation initiatives
• Establish governance models (TOGAF/SAFe or similar)
• Lead architecture review boards and technical decision-making processes
• Cloud Architecture (AWS)
• Architect and optimize cloud-native and hybrid solutions using AWS services
• Define cloud migration strategies and modernization approaches
• Ensure high availability, resiliency, cost optimization, and performance
• Implement Infrastructure-as-Code and automation best practices
• AI, Data & Intelligent Systems Architecture
• Design AI/ML infrastructure, pipelines, and enterprise integration patterns
• Architect solutions incorporating LLMs, generative AI, and intelligent agents
• Guide adoption of AI technologies within enterprise platforms and products
• Establish patterns for:
• RAG (Retrieval-Augmented Generation)
• Feature stores and data pipelines
• Model deployment, versioning, and scaling
• AI Governance, Observability & Control
• Define and implement enterprise AI governance frameworks covering:
• Responsible AI usage (fairness, bias mitigation, explainability)
• Data privacy, lineage, and compliance
• AI risk classification and policy enforcement
• Establish AI observability and monitoring capabilities, including:
• End-to-end tracing of AI/ML and LLM flows using tools such as OpenTelemetry
• Monitoring of prompts, responses, latency, and model behavior using platforms like Langfuse or equivalent
• Metrics for model performance, drift, hallucination rates, and usage patterns
• Design and enforce agent governance and control mechanisms, including:
• Monitoring and auditing of autonomous and semi-autonomous AI agents
• Guardrails for agent behavior, tool usage, and decision boundaries
• Human-in-the-loop (HITL) workflows and escalation patterns
• Policy-based control over agent actions and integrations
• AI lifecycle governance, including:
• Model validation, approval workflows, and audit trails
• Continuous evaluation and feedback loops
• Secure model and prompt management
• Cross-Disciplinary Architecture Leadership
• Act as a strategic liaison across Semantic, Data, and ML architecture domains
• Facilitate alignment between knowledge graphs, ontologies, data platforms, and ML systems
• Provide architectural guidance to specialized architects, ensuring cohesive enterprise integration
• Bridge gaps between business semantics, data engineering, and machine learning pipelines
• Security, Compliance & Governance
• Ensure architectures meet enterprise security standards (e.g., Zero Trust)
• Define policies for data governance, access control, and auditability
• Align AI and cloud solutions with regulatory and compliance frameworks
• Collaboration & Leadership
• Work with engineering, product, data, and AI teams to align solutions
• Mentor architects and senior engineers
• Act as a trusted advisor to leadership and stakeholders

Skills

• Must have
• Core Architecture
• 8-12+ years in software engineering and architecture roles
• Proven experience designing large-scale distributed systems
• Strong knowledge of Microservices and event-driven architectures
• API management and integrations
• Enterprise integration patterns (EIPs)
• AWS Technologies
• Compute & Containers
• Amazon EC2, AWS Lambda
• Amazon ECS / EKS (Kubernetes)
• Networking & Integration
• Amazon VPC, Route 53, API Gateway
• AWS App Mesh, EventBridge, SNS, SQS
• Data & Storage
• Amazon S3, EBS, Glacier
• Amazon RDS, Aurora, DynamoDB, Redshift
• DevOps & Automation
• AWS CloudFormation / CDK / Terraform
• AWS CodePipeline, CodeBuild, CodeDeploy
• Observability
• Amazon CloudWatch, AWS X-Ray
• Security
• AWS IAM, Cognito, KMS, Secrets Manager
• AWS Organizations and Control Tower
• AI/ML, LLM & Observability Expertise
• Experience with AWS AI/ML stack:
• Amazon SageMaker
• Amazon Bedrock (LLMs & foundation models)
• AWS Glue, Lake Formation
• Hands-on experience with:
• LLM-based architectures and agent-based systems
• AI observability tools (e.g., OpenTelemetry, Langfuse, Prometheus/Grafana)
• Prompt lifecycle management and evaluation pipelines
• Strong understanding of:
• AI governance frameworks and enterprise AI controls
• Agent orchestration, monitoring, and guardrails
• Data lineage, quality, and compliance
• Architecture Frameworks & Practices
• TOGAF or equivalent enterprise architecture frameworks
• Domain-driven design (DDD)
• Cloud-native and serverless patterns
• Experience integrating data, semantic, and ML architectures
• Soft Skills
• Strong communication and stakeholder management
• Strategic thinking with hands-on technical depth
• Ability to influence senior leadership and cross-functional teams
• Mentorship and leadership capabilities

Nice to have

• AWS Certified Solutions Architect
• Professional
• AWS Specialty Certifications (Machine Learning, Security)
• Experience implementing enterprise AI governance frameworks
• Background in regulated industries
• Exposure to multi-cloud or hybrid environments

Languages

English: C1 Advanced

Seniority

Lead

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.