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.

JetBrains IDEs support many programming languages, including Java, Kotlin, Python, Go, Rust, JavaScript, and others. Our IDEs are used by hundreds of thousands of developers around the world, and we do all we can to make development an enjoyable experience for them.

JetBrains IDEs have grown in several ways over the years. They now have:

• 14 GB of source code
• 500+ developers
• Hundreds of thousands of tests

We strive to streamline the development of JetBrains IDEs, so we are looking for a person who would help us support and develop infrastructure for quick and easy test runs, installer builds, product releases, and related tasks.

We will be happy to have you on our team if you: 

• Have experience with Java or Kotlin stack development. Can design and write code that is easy to read and maintain.
• Are familiar with build systems such as Bazel, Gradle, or Maven.
• Are experienced with DevOps tooling such as AWS, Azure, Kubernetes, Terraform, Packer, or Ansible.
• Are familiar with Linux fundamentals and shell scripting, and feel comfortable handling basic system administrative tasks.
• Understand the algorithms behind the code you write.
• Have strong teamwork skills, are open to diverse opinions, and can support your point of view with sound reasoning.
• Are ready to communicate and collaborate closely with other teams.
• Are willing to grow as a professional by learning and applying new approaches and technologies.
• Take pride in the work you do.
• Have contributed to open-source projects or have developed projects of your own.

How we develop IntelliJ IDEA: 

• The source code is stored in Git, with the public part available on GitHub.
• The source code is written in Java 17 and Kotlin. When it comes to build tools, we develop them using our own Kotlin scripts.
• For effective team collaboration, we use the following JetBrains products: Space, TeamCity, and YouTrack.

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 

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.

About The Role

We're hiring a Senior Dev/MLOps Engineer to join our Data & Compute Platform team based in London.

What You’ll Do

• Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement.

• Build and maintain robust CI/CD pipelines for both software and ML workflows.

• Ensure reliability, scalability, observability, and security of production systems and ML infrastructure.

• Automate deployment, orchestration, and environment management using modern DevOps tooling.

• Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production.

• Proactively detect, troubleshoot, and resolve infrastructure and model performance issues.

• Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering.

• Document infrastructure, workflows, and operational procedures clearly and thoroughly.

What We're Looking For

• Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role.

• Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch.

• Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes).

• Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm).

• Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing.

• Ability to design scalable, secure, and observable systems in fast-moving environments.

• Strong debugging and problem-solving skills across distributed systems.

• Excellent collaboration and communication skills, with experience working in cross-functional teams.

• Understanding of security and compliance best practices for both software and ML systems.

What We Offer

• Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.

• Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.

• Equity included–we believe builders should share in what they build.

• Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.

• Free daily breakfast, catered lunch, and snacks in‑office.

• Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.

• Freedom to influence the product and own key initiatives.