About Us:

At Sauce Labs, we empower the world's top enterprises - like Walmart, Bank of America, and Indeed - to deliver quality web and mobile applications at speed. Our industry-leading platform ensures continuous quality across the SDLC, using AI-powered analytics to identify key quality signals from development through production. With our unified solution, teams can release and innovate with confidence, knowing their apps will always look, function, and perform exactly as they should. Backed by TPG and Riverwood Capital, we are shaping the future of digital confidence - join us!

The Role:

Sauce Labs is looking for a passionate Senior Backend Engineer to join the Sauce Connect team. This agile development team plays a critical role in enabling enterprise customers to maximize their use of Sauce Labs by providing a fast, secure connection between their internal development networks and our cloud-based virtual testing environments. You will work closely with the Product Owner, Engineering Manager, and other talented Sauce Connect engineers to achieve excellent results and shape the future of Sauce Connect

Responsibilities:

• Lead the technical direction and architectural design of Sauce Connect, collaborating with a cross-functional team to deliver a fast, secure, and scalable tunneling solution.
• Design, develop, and own projects across the full stack, from the backend server infrastructure to the client-side application on Linux, Windows, and macOS.
• Act as a technical expert for complex, escalated customer issues, performing root cause analysis and implementing robust solutions to prevent future problems.
• Drive continuous improvements in the scale, performance, and quality of our Trusted Connection Technologies, mentoring other engineers on best practices and system health.
• Proactively identify and evaluate emerging technologies in the open-source community, presenting well-researched proposals for adoption to drive innovation and technical excellence.
• Make and defend architectural decisions based on your extensive experience, balancing trade-offs between technical debt, velocity, and long-term maintainability.

Required Skills:

• 5+ years of professional software development experience in Python or Golang, with a proven track record of designing, building, and operating complex distributed systems and high-availability online services at scale.
• Experience in working with CI/CD tools (designing and implementing robust, automated pipelines using tools like GitHub Actions, GitLab CI, or Jenkins)
• Advanced experience with tunneling, proxy, or VPN-related solutions, with a understanding of their security implications and performance characteristics.
• Deep knowledge of TCP/IP networking, HTTP2, SSL/TLS, and WebSockets. You should be able to debug network issues at the packet level.
• Hands-on experience deploying and managing containerized applications at scale using Kubernetes.
• Demonstrable product development experience, including the ability to influence product strategy and make technical trade-offs to deliver customer-facing value.
• Exceptional ownership mentality and a passion for crafting elegant, well-architected products that deliver stellar user experiences.

Nice to Haves:

• Experience with asynchronous programming
• Experience building and consuming microservices
• Knowledge and understanding of data structures, algorithms, distributed systems, and design patterns.
• Familiarity with modern monitoring systems (e.g., Prometheus or OpenTelemetry)
• Understanding of common security practices involved in protecting customer data

We are a hybrid workplace that recognizes the importance of flexibility while valuing in-person collaboration and relationship building. As a result, Saucers located near an office location must be able and willing to come into the office. Those hired remotely must be able and willing to travel to an office as required by the specific role.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

About the role 

As a Staff Engineer on the Spark Job Manager and Starburst Enterprise team, you will own critical backend and platform components that orchestrate distributed compute (Spark, Trino) for enterprise customers. You will lead the design and implementation of JVM-based services and the surrounding infrastructure: Kubernetes deployments, Docker image strategy, CI/CD automation, AWS integrations, and secure enterprise authentication flows. This is a staff-level role requiring architectural leadership, cross-team influence, and long-term platform ownership.

As a Staff Software Engineer at Starburst, you will: 

• Own critical backend and platform components that orchestrate distributed compute (Spark, Trino) for enterprise customers.
• Lead the design and implementation of JVM-based services and the surrounding infrastructure, including Kubernetes deployments, Docker image strategy, CI/CD automation, AWS integrations, and secure enterprise authentication flows.
• Provide architectural leadership, cross-team influence, and long-term platform ownership.

Some of the things we look for:

• Deep Backend Engineering & Distributed Systems:
• 8+ years of professional backend experience, with strong expertise in Java (primary and required) and production experience building JVM-based services.
• Experience designing and operating distributed systems in production. Working with Spark, Trino/Presto, or comparable distributed compute engines is a strong plus.
• Extensive experience designing and evolving RESTful APIs, including validation, error modeling, pagination, filtering, backward-compatible versioning, and OpenAPI documentation.
• Infrastructure & Operations:
• Hands-on production experience with Kubernetes (authoring manifests/Helm charts) and strong Docker experience (multi-stage builds, image optimization, security best practices).
• Experience owning CI/CD for complex Java codebases, using GitHub Actions (preferred) or Jenkins.
• Practical AWS experience with S3 (or S3-compatible object storage), IAM roles/policies, and AWS SSO.
• Familiarity with secure authentication mechanisms: OAuth2 / OIDC, token-based auth, and session management.
• Experience implementing Metrics (Prometheus preferred), Distributed tracing (OpenTelemetry), and structured logging for JVM services is a plus.
• Staff-Level Impact:
• Proven experience leading architecture across multiple services or systems.
• Demonstrated ability to drive cross-team RFCs, break down ambiguous problems, influence engineering standards, and raise the technical bar through code reviews and mentorship.
• Own long-term platform health, not just feature delivery.
• Highly Preferred Experience:
• Experience building job orchestration platforms.
• Experience working in enterprise / B2B environments.
• Strong Python skills for automation and tooling.
• Experience running systems in hybrid or on-prem environments.
• Collaboration on open-source projects is a strong plus.
• Ability to Travel: This role will require 25% in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events. Actual travel expectations may vary by role and business needs.

Where could this role be based?

• This role is based in our Warsaw office and follows a hybrid model, with an expectation of being onsite 2-3 days per week.

Salary ranges: 440,000 - 540,000 PLN anually 

At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the most effective developer tools on earth. Our tools speed up production by automating routine checks and corrections, freeing developers to grow, discover, and create.

The JetBrains Cloud Platform team develops a cloud-based service that helps organizations manage JetBrains products and services with a focus on encouraging the adoption of AI-powered development tools. JCP provides centralized management, usage-based billing, and visibility into AI consumption patterns.

We are currently seeking a skilled Performance QA Engineer to join our team and improve the reliability of our system. In this role, you will be responsible for ensuring the scalability and stability of our distributed systems through rigorous performance testing and analysis.

As part of our team, you will:

• Design, develop, and maintain automated performance test suites for complex distributed systems.
• Identify system bottlenecks, conduct root-cause analysis, and partner with engineering teams to implement remediation strategies.
• Generate high-quality performance reports with actionable recommendations and communicate findings to both technical and non-technical stakeholders.
• Work closely with cross-functional development teams to identify performance-critical components and define SLAs, performance criteria, and workload models.
• Design and enhance frameworks for performance test execution, test results collection, analysis, visualization, and reporting.
• Integrate performance testing into CI/CD pipelines.

We’ll be happy to have you on our team if you have:

• 5+ years of experience in performance testing or engineering.
• Strong hands-on experience with at least one major performance testing tool – K6, JMeter, Gatling, Locust, or LoadRunner (code-based tools are preferred, but git knowledge is a must).
• Solid programming or scripting skills in languages such as Java, Python, JavaScript/TypeScript, or Go.
• A strong understanding of distributed systems, API performance, databases, caching, and networking fundamentals.
• The proven ability to analyze performance metrics, identify bottlenecks, and recommend improvements.
• Experience testing high-traffic or mission-critical applications.
• Strong analytical skills and the ability to communicate technical findings clearly.
• Proficiency in English, both written and spoken.

We’ll be especially thrilled if you have:

• Experience with observability platforms (Prometheus/Grafana and Elastic).
• Experience with containerized and cloud-native environments (Docker, Kubernetes, and AWS/GCP/Azure).
• Familiarity with event-driven systems, streaming platforms (Kafka), and microservice architectures.
• Knowledge of CI/CD automation (TeamCity, GitHub Actions, etc.).

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

❗️Please note that this role is office based for Valencia, Spain (RAS Valencia - Servicios Profesionales de Recursos Humanos).

❗️If you need to be relocated, we take care of the process.

We are developing an innovative platform for intelligent gameplay analysis and complex in-game scenario automation. Our team builds internal tooling that bridges the gap between Computer Vision, text analysis, and modern LLM architectures to achieve deep, real-time understanding of game mechanics.

Key Responsibilities:

• Core Development: Designing and maintaining an in-house AI-powered service for intelligent automation.
• Computer Vision: Training and calibrating Object Detection and Classification models (CNNs, DETR) on unique proprietary datasets.
• Intelligent Analysis: Integrating OCR solutions and LLMs to interpret data and structure information from dynamic content.
• MLOps: Building pipelines for model retraining based on "low-confidence" predictions (Active Learning).
• Infrastructure: Containerizing solutions and ensuring their scalability and performance.

Our Tech Stack & Requirements:

• Experience: 4+ years in software development (Backend / Full Stack / SDET).
• AI/ML Background: Proven hands-on experience with Detection Transformers (DETR) or modern CNN architectures.
• LLM & Agents: Understanding of AI Agent principles; experience building tools and integrations with LLMs (LangChain, Indexing, Tool-use).
• Python: Strong proficiency in Python and experience in AI tool development.
• Engineering Excellence: Deep understanding of TDD, clean architecture principles, and database management (PostgreSQL/MySQL).
• Networking: Experience designing APIs (REST, GraphQL, WebSockets).
• English: Upper-Intermediate (technical documentation, professional communication).

Nice to Have:

• Experience with Kubernetes and Docker.
• Understanding of microservices architecture.
• Experience setting up CI/CD pipelines (GitLab CI, GitHub Actions).

We’re looking for a Software Engineer to join Bolt’s Data Platform Insights team. You’ll build and evolve the platform that helps Bolt teams create and manage high-quality data products — making data reliable and accessible, to power decisions at massive scale.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

As a Software Engineer in the Insights team, you will play a vital role in shaping the data ecosystem at Bolt. You will deliver frameworks, libraries, and automations that make it effortless to build, test, and deploy thousands of data models, metrics, and BI reports.

You’ll work closely with data producers to turn their toughest challenges into scalable, elegant platform solutions. We’re solving complex engineering problems at scale to ensure that Bolt’s data modelling ecosystem stays reliable, cost-effective, and performant.

• You have 3–4 years of experience as a software or data engineer, and have hands-on experience building and deploying data pipelines or analytics workloads in cloud environments.
• You’re proficient in Python and SQL, developing production-ready code for internal libraries, data pipelines, and automation.
• You have excellent communication skills, are fluent in spoken and written English, and you’re comfortable collaborating with both technical and non-technical colleagues.
• You understand modern CI/CD practices and value automation, testing, and observability as core engineering principles.
• You’re driven by customer success - motivated by helping teams be more productive and enabling them to build better data products.
• Bonus points for experience with tools like Databricks, Spark, dbt, Looker, or DataHub, and interest in exploring AI-assisted analytics or developer productivity tooling.

Experience is great, but we also look for drive, intelligence, and integrity. So, even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

About the Initiative

JetBrains is evolving beyond standalone developer tools toward a unified, AI-native platform for software development.

AI is no longer just an assistant inside the editor –  it is becoming an active participant in how software is planned, built, reviewed, and operated across teams and organizations. This shift introduces new challenges that cannot be solved at the level of individual tools alone: governance, security, cost control, observability, and coordinated work between humans and autonomous agents.

Our goal is to build a platform that enables companies to adopt AI in software development in a structured, scalable, and economically efficient manner – without locking them into closed ecosystems.

We are building the foundation that connects developer workflows, team-level collaboration, and organizational control into a single coherent system.

This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments.

This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Developer Experience Lead to drive large-scale improvements to the development experience across the JCP.

This role focuses on making JCP engineers faster and more productive by improving build systems, CI/CD pipelines, local development workflows, tooling infrastructure, and AI pipelines. You will own the developer experience end to end – from how engineers develop, build, and test locally to how code moves through CI and reaches production. As this is a rapidly growing platform, many workflows and processes are still maturing. You will define what a great development experience looks like and drive the organization toward it.

As part of the team, you will:

- Own and drive the strategy for developer experience improvements across the entire JCP platform.

- Optimize build systems (Gradle, Nx, and others) for faster builds, better caching, and reliable reproducibility at scale.

- Set up AI development pipelines, managing context, agents, and handoffs, and leveraging tools developed within the JCP.

- Improve CI/CD pipelines – reduce build times, increase reliability, optimize resource usage, and shorten feedback loops across TeamCity and GitHub.

- Improve containerized development workflows (Docker, Dev Containers) to ensure fast and consistent local environments.

- Identify and eliminate bottlenecks in the development cycle – from code commit to production deployment.

- Establish best practices, tooling standards, and shared infrastructure that enable all teams to move faster.

- Collaborate with platform and product teams to understand pain points and deliver high-impact improvements.

We are looking for someone who:

- Has extensive experience with build systems (Gradle, Maven, or Bazel) and a track record of optimizing them at scale.

- Has strong expertise in CI/CD systems (GitHub Actions, TeamCity, Jenkins, or similar) and knows how to ensure high performance and reliability.

- Has hands-on experience with Docker and containerized development workflows.

- Understands the full software development life cycle and can reason about developer productivity holistically.

- Is able to drive cross-team initiatives and influence engineering practices across a large organization.

- Is motivated by making other engineers more productive and removing friction from their daily work.

We'd be particularly thrilled if you:

- Have experience improving the developer experience at scale in a platform or infrastructure organization.

- Have worked on AI-driven development pipelines.

- Have expertise in build caching, remote execution, and incremental build strategies.

- Have contributed to or maintained open-source build tooling or CI/CD infrastructure.

- Enjoy digging into performance problems and turning slow, flaky processes into fast, reliable ones.

#LI-MP1

Location: Poland

We Are:

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.

We are looking for a Backend Python Developer to join our internal team at RTB House. You will work on applications and tools that directly support our real-time bidding business, collaborating with experienced engineers and product teams. This position is ideal for developers who want to grow their skills, solve real-world problems, and build reliable software that makes a visible difference.

You Will:

• Design, develop, and maintain internal web applications responsible for ad campaigns management, e.g. configuration, monitoring, automation
• Implement jobs and processes to integrate internal services
• Contribute to the development of internal Python libraries and shared frameworks
• Write and maintain unit/integration tests to ensure code quality and reliability
• Identify issues and propose improvements to enhance performance, scalability, and stability
• Collaborate with cross-functional teams to deliver new features and improve existing workflows
• Apply best practices in application design, databases, and APIs

Desired Experience:

• Solid experience in backend development with Python
• Familiarity with relational databases and ability to write efficient SQL queries (PostgreSQL, BigQuery is a plus)
• Understanding of RESTful and GraphQL APIs conventions and best practices
• Experience in asynchronous programming
• Good understanding of system design concepts (e.g. scalability, caching, reliability) and willingness to learn more
• Experience with writing and maintaining tests
• Problem-solving skills and the ability to work methodically through technical challenges
• Good communication skills and ability to work in a team
• Fluency in English

Selected Technologies:

• Backend: Python, FastAPI
• Databases: PostgreSQL, BigQuery
• GraphQL: Ariadne
• Messaging: Google Pub/Sub
• Data Handling & Validation: Pydantic, dataclasses
• Testing: Pytest
• Monitoring: Sentry, Prometheus, Grafana
• CI/CD: GitHub Actions
• Cloud: GCP, Kubernetes

We Offer:

• Being part of a small team with a high degree of autonomy and decision-making 
• Access to the latest technology in the developed solution
• Opportunity to build and improve our own products, where long-term quality and reliability truly matter
• Participation in one of the most interesting projects of the online industry in Poland and one of the fastest growing technology companies in Europe
• Collaboration with flexible contract options (B2B or contract of mandate)

Apply now! 

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

Kineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale. It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone. Our team is growing rapidly, and we’re now seeking an experienced Infrastructure Engineer who can design, build, and maintain our cloud-native platform, with a focus on scalability, reliability, and automated operations.

What you’ll do:

Cloud and platform engineering (DevOps):

• Design, implement, and manage the core infrastructure powering Kineto's platform on Google Cloud Platform (GCP), including networking, security, and identity management.
• Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related cloud-native technologies.
• Automate the entire infrastructure life cycle (IaC) using Terraform and Terragrunt, ensuring secure, reproducible, and auditable environments.
• Implement and maintain CI/CD pipelines (e.g. GitHub Actions and TeamCity) and deployment tools like Flux and Helm for GitOps-driven application delivery.
• Optimize and manage the multi-tenant data layer on Postgres and Neon, focusing on robust tenant isolation, performance, backups, and safe schema management.

Operational excellence and reliability:

• Drive site reliability engineering (SRE) practices, including monitoring, alerting (Prometheus, Grafana), logging (Loki), and incident response.
• Solve complex operational challenges, such as optimizing scale to zero for cost efficiency, minimizing cold starts, enhancing autoscaling behavior, and managing queue backpressure.
• Implement platform-wide performance tuning (e.g. container resource limits, distributed locks, caching strategies, and GC configurations).
• Ensure platform security and compliance by implementing best practices for secrets management, network segmentation, and vulnerability scanning.

Technical leadership:

• Own major infrastructure roadmap items, including multi-region deployments, disaster recovery planning, advanced tenancy separation, and ephemeral preview environments.
• Champion DevOps and SRE principles across the engineering team, mentoring engineers on cloud-native best practices, operational readiness, and debugging complex distributed systems.
• Collaborate with product and engineering teams to define the long-term vision for the platform's architecture and operational model.

We’d be glad to have you on our team if you:

• Have five or more years of experience building and operating large-scale, commercial cloud-native infrastructure, with a strong focus on DevOps/SRE practices.
• Possess deep, hands-on expertise with GCP (or AWS/Azure) and Kubernetes administration and operations (GKE experience is a strong plus).
• Are proficient with infrastructure-as-code (IaC) tools, particularly Terraform, for managing complex environments.
• Have a solid understanding of Linux internals, networking (CNI and service mesh), security, and distributed system design.
• Are familiar with CI/CD tools, GitOps (e.g. Flux), monitoring stacks (Prometheus/Grafana), and logging systems.
• Thrive in cross-functional teams and excel at communicating complex infrastructure ideas clearly.

#LI-YY1

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

We’ll be happy to have you on our team if you have:

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

We’re now looking for an experienced and proactive Full-stack QA Engineer to join our team to help us with functional and performance testing.

Your responsibilities will include: 

• Developing and maintaining an automated testing infrastructure, setting up CI/CD pipelines, selecting and integrating existing tools, and designing new ones.
• Writing and improving automated tests, particularly for APIs.
• Collaborating with the QA and Development teams to design and execute test scenarios.
• Working with logs and monitoring tools (e.g. Kibana, Grafana) to detect functional issues and performance anomalies.
• Ensuring the quality of our distributed AI-powered systems by validating integrations with various language models and APIs.

We would like you on our team if you: 

• Have at least three years of experience in software testing (manual and automated).
• Possess a solid understanding of REST APIs, request/response structures, status codes, and typical scenarios.
• Have hands-on experience with Postman or similar API testing tools.
• Are familiar with writing automated tests for APIs using any programming language or framework.
• Understand distributed systems and microservice architectures.
• Have basic Docker skills (running containers, working with Docker Compose).
• Are comfortable reading and interpreting OpenAPI/Swagger specifications.
• Have a basic understanding of authentication and authorization protocols (e.g. OAuth 2.0, API keys, and JWT).
• Can work well both independently and within a team, demonstrating strong self-management skills.
• Have a good command of English, both spoken and written.

We’d be especially thrilled if you: 

• Have hands-on experience with cloud computing platforms (AWS, GCP) and container orchestration tools (Kubernetes, Helm).
• Have experience with CI/CD tools (e.g. TeamCity or GitHub Actions).
• Have experience with performance testing tools (e.g. k6).
• Are familiar with TypeScript and/or JavaScript.
• Have worked with automated testing infrastructure and processes.
• Enjoy digging into logs and debugging distributed systems.

Main focus: 

• Quality assurance of new features
• Automation of regression testing
• Performance testing

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI 

Are you a Devops engineer, who loves coding, solving interesting problems, and being part of something truly impactful? INGENIOUS.BUILD could be the perfect place for you! We’re a remote team with big goals, and we are looking for someone with initiative who’s ready to jump in and help us make a real difference in our industry.

Being a part of the team, you will be: 

• Working towards improving the system's non-functional qualities, including availability, scalability, security, and durability.
• Engaging in Scrum-based work management by participating in team meetings and discussions.
• Creating automation and process improvements.
• Supporting and developing new tools used by our Engineering department.
• Monitor systems and create infrastructure documentation.
• Participating in planning and taking full ownership of our initiatives.
• Working with our tech stack, including:
• GCP - GKE, Cloud SQL, Memorystore Redis, GCS, VMs, Cloud Run, PSC, Artifacts Registry, Secret Manager, CDN
• K8S and Helm
• Argo CD and Argo Workflows
• Pulumi
• Istio
• Grafana stack
• Gitlab

What type of person are we looking for?

• We’re looking for engineers who care about impact, not just implementation. You won’t just take tickets and ship code, you’ll help shape the solution. We value teammates who think beyond their “part,” who want to understand the why behind the work, and collaborate to find the best path forward. That means asking questions, challenging assumptions, and partnering across functions to deliver outcomes that really move the needle for the business

• Someone proactive who brings fresh ideas and energy to the team.
• A devops with grit and a drive to tackle tough challenges.
• A person excited to be part of a transformative project that could reshape the industry.

Skills and Experience needed:

• Minimum 2 years of experience as a DevOps Engineer with Google Cloud
• Experience with Google Cloud Platform (GCP) at a senior level
• Experience with observability tools: GCP Metrics, Grafana, Prometheus
• GitLab CI/CD, GitHub Actions, or Argo CI/CD
• Docker, Kubernetes, Helm
• Scripting skills: Bash
• SQL databases with emphasis on performance optimization. Preferably Postgres.

Benefits of Working with Us:

• We provide high-performance company laptops for optimal productivity.
• Unlimited PTO lets you take the time you need to recharge.
• One-time $500 office budget to set up your workspace.
• $50 monthly for educational resources, rolling over until year-end.
• Licenses for tools like GitHub Copilot and PhpStorm.
• Stock options so you can share in the company’s growth.
• Friendly atmosphere and a lot of freedom regarding proposing and implementing impactful initiatives.

Location: [Poland] 

We Are: 

RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. 

Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

About The Role

As a DevOps Engineer, you will play a crucial role in designing, building, and maintaining our cloud infrastructure, CI/CD pipelines, and deployment automation. Your responsibilities will include migrating applications from on-prem to GCP, monitoring web applications, automating daily tasks, and maintaining the production environment. You will collaborate closely with development teams, system administrators, and other stakeholders to ensure our systems are highly available, secure, and efficient.

This is an excellent opportunity for an experienced DevOps professional who is passionate about solving complex challenges and enabling engineering teams to perform at their best.

The following skills will be crucial: 

• Hands-on experience migrating applications and infrastructure from on-premises environments to Google Cloud Platform (or other cloud provider). Skilled in designing secure, scalable, and cost-efficient GCP architectures using infrastructure as code, containerization, and managed services. Capable of defining and executing migration strategies with minimal operational disruption.
• Demonstrated ability to take ownership of complex systems, troubleshoot critical issues, and implement scalable solutions. Experience in sharing best practices, and driving key DevOps projects through hands-on technical contributions.
• Proven ability to streamline daily operations by developing automation scripts, refining CI/CD pipelines, and optimizing cloud infrastructure to enhance system reliability and team productivity.
• Strong communication skills to engage with engineering teams and stakeholders across the organization. Ability to work across disciplines to align infrastructure and deployment strategies, ensuring seamless integration and operational excellence.
• Skilled at addressing complex and unclear technical challenges. Capable of analyzing issues, defining objectives and success metrics, and crafting efficient, practical solutions to meet project goals.

Desired Experience: 

• 5+ years of experience as a DevOps Engineer or similar
• Proven experience as a DevOps / Engineering Team Lead, including team mentoring, technical decision-making, workload prioritization, and cross-team coordination
• Strong hands-on experience with at least one major cloud platform (GCP, AWS, or Azure, with a preference for GCP)
• Proficiency in Kubernetes and Helm for container orchestration and management
• Hands-on experience with CI/CD tools such as GitHub Actions, Jenkins
• Expertise in infrastructure-as-code tools like Terraform, Terragrunt
• Proven experience building and optimizing observability stacks with Prometheus and Grafana, including metrics design, alerting strategies, and dashboarding
• Strong knowledge of Docker for containerization
• A strong commitment to best practices and ensuring the high security of designed solutions

Selected Technologies: 

• Google Cloud Platform
• Kubernetes, GCP serverless services
• Argo CD & Argo Workflows
• PostgreSQL, Google Cloud SQL
• GitHub
• Terraform, Terragrunt
• GitHub Actions, Jenkins

We Offer: 

• Competitive Compensation: We offer an attractive salary package with significant growth opportunities
• Cutting-edge Technology: Engage with the latest technologies on large-scale, dynamic projects
• Wellbeing: extremely flexible working conditions - you work when it is convenient for you and devote as much time as you can; you can work fully remotely
• Purpose-Driven Work: being at the heart of the system, your growing knowledge and competencies will be used in practical applications directly connected to business results

Apply now! 

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

✅ Main requirements:

✔️3–5+ years of experience in test automation within product or platform teams;

✔️Strong hands-on experience with TypeScript / JavaScript;

✔️Experience writing end-to-end tests alongside application code (near-code / monorepo approach);

✔️Proven experience working in cross-functional teams with close collaboration with Backend, Frontend, and DevOps engineers;

✔️Practical experience with modern E2E testing frameworks (Playwright or equivalent)

✔️Strong understanding of testing principles and strategies, including the test pyramid, shift-left approach, and contract testing;

✔️Experience with REST API testing, data validation, and system-level testing;

✔️Ability to design and implement mocks, stubs, and other test doubles to ensure stable and isolated tests;

✔️Solid understanding of object-oriented and/or functional programming concepts as applied to test code and frameworks;

✔️Experience working with CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions, or similar);

✔️Familiarity with test observability and reporting tools (e.g., Allure, TestOps, CI-based reporting);

✔️Strong communication skills with the ability to actively participate in technical discussions and challenge requirements constructively;

✔️English proficiency at an Intermediate level or higher, both written and spoken.

✅ Nice to have:

✔️Experience writing and maintaining integration tests (service-to-service, contract-based testing);

✔️Experience contributing to the design and evolution of test automation frameworks;

✔️Practical knowledge of Docker and test environment configuration;

✔️Experience testing GraphQL APIs;

✔️Experience with distributed systems or high-load platforms;

✔️Experience in non-functional testing, including performance, reliability, and resilience testing.

✅ Responsibilities:

✔️ Design, implement, and maintain end-to-end automated tests in TypeScript, developed and maintained alongside the application code;

✔️Collaborate closely with developers throughout the feature lifecycle, including design, implementation, and defect resolution;

✔️Participate in defining test strategies at both feature and system levels;

✔️Contribute to the development and continuous improvement of the automation testing framework;

✔️Make informed decisions on the appropriate use of mocks, stubs, or real integrations depending on testing goals;

✔️Ensure automated tests are reliable, maintainable, and suitable for execution in CI/CD pipelines;

✔️Participate in code reviews for test code and, when appropriate, application code;

✔️Provide fast, clear, and actionable feedback on quality and defects to the development team;

✔️Promote a built-in quality mindset and continuous improvement of testing practices across the team.

✅ We offer excellent benefits, including but not limited to:

🧑🏻 💻 Learning and development opportunities and interesting challenging tasks;

📝 Official employment following the laws of Poland/EU, registration of family members;

✈️ Relocation package (tickets, staying in a hotel for 2 weeks);

📚 Opportunity to develop language skills and partial compensation for the cost of language classes;

🎁 Birthday celebration present;

🏝 Time for proper rest and 24 working days of Annual Vacation.