JetBrains

Join JetBrains team to help build an innovative AI-driven product. You’ll work across the entire stack – frontend, backend, and cloud infrastructure – designing, developing, and maintaining high-quality features. You’ll collaborate closely with product managers, designers, and fellow engineers to deliver scalable, reliable, and user-friendly solutions.

Our Security team is currently looking for an experienced Infrastructure Security Engineer to help safeguard our diverse cloud infrastructure and critical assets. In this role, you will collaborate with the DevOps and IT departments to maintain infrastructure security, including resolving issues that may involve a variety of internal and external resources. You will help investigate detected security problems and work with the colleagues responsible for the affected systems to find the solutions.

As a developer advocate with knowledge of Go, you'll explain how our products can credibly enhance developer productivity in the Go space and advise product teams based on industry trends and developer feedback. You will attract attention to and explain various aspects of our product portfolio and work with the product teams to provide feedback. Meet with customers to listen to them and educate them about our offerings.

Evaluation is becoming a crucial part of modern AI development and JetBrains is committed to building robust evaluation systems. As part of our team, you will design and develop evaluation tools to assess AI-powered features in JetBrains products, empower teams, and implement modern evaluation techniques.

Maintain application architecture. Serve as the entry point for all difficult tech issues, providing a higher-scale view of the team’s programming activities. Drive the technical growth of software developers in the team. Mentor new team members. Build processes as and when required. Provide continuous feedback and regular code reviews.

The rapid rise of large language models has significantly changed how developers work and TeamCity is actively contributing to the next chapter of AI integration by JetBrains. As part of our team and in this role, you will work with stakeholders to convert product requirements into technical specifications, guiding a highly skilled software engineering team in bringing AI features to customers, taking ownership of features from conception to implementation and evaluation, and designing and implementing AI workflows and agents.

Manage research infrastructure and boost its efficiency and scalability. This role involves maintaining GPU clusters and standalone machines, building robust monitoring, and removing bottlenecks that slow down experimentation. Work alongside ML researchers and engineers to solve practical problems across a wide range of projects involving distributed training, reinforcement learning, training agentic backbones, and more.

In this role, you will develop and launch new features using the products we develop every day and continuously iterate on improving the product experience and quality. Own the end-to-end development process from early research experiments to production code. If you're an experienced engineer with a strong technical background and demonstrate an ability to learn new skills and concepts rapidly and effectively we want to meet you!