Senior Software Engineer – AI Assistant Infrastructure

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November 25

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JetBrains

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B2B • SaaS • Artificial Intelligence

JetBrains is a software company that builds professional developer tools and integrated development environments (IDEs) — including IntelliJ IDEA, PyCharm, WebStorm, Rider, and others — plus team and CI/CD tools like TeamCity, YouTrack, Datalore, and code-quality services. The company also offers AI-powered developer features (Junie, AI Assistant, AI Enterprise), a marketplace for plugins, educational offerings (JetBrains Academy, courses, free licenses for students/teachers), and enterprise services for managing developer tooling at scale. JetBrains focuses on improving developer productivity, collaboration, and code quality for individual developers and organizations worldwide.

1001 - 5000 employees

Founded 2000

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Design and implement robust internal systems and tooling necessary for automating ML-related workflows, with a strong focus on evaluation and testing processes. • Deliver high-quality, stable software solutions for infrastructure challenges, primarily using Kotlin and Python. • Solve diverse infrastructure problems, write automation and integration scripts, and connect various internal and external services. • Contribute to technical discussions and decisions regarding the structure and evolution of our team's platform. • Work closely with ML engineers, product managers, software engineers, and QA specialists to understand their daily challenges and deliver solutions that improve their workflow efficiency. • Conduct thorough code reviews and help maintain high engineering standards within the team.

🎯 Requirements

• At least 3 years of professional experience in software development. • Strong experience with either Kotlin or Java and familiarity with Python. • A solid understanding of standard software engineering practices, patterns, and testing methodologies. • Experience with building and maintaining internal tooling or core infrastructure components. • Experience with CI/CD tools (e.g. Jenkins, TeamCity, GitLab CI, etc.) and pipeline automation. • Familiarity with basic infrastructure concepts (e.g. working with containers or Linux environments). • The ability to write clean, maintainable code and effectively debug complex issues. • Excellent communication skills and the ability to clearly document technical work.

🏖️ Benefits

• Professional development opportunities • Team collaboration