Key skills
Distributed SystemsLinuxPythonAILLMCI/CDRemote Work
About this role
Role Overview
- Build AI-assisted tooling for engineering workflows
- Improve developer productivity and operational efficiency
- Design systems that reduce repetitive manual engineering work
- Develop AI-driven solutions for pipeline analysis, failure classification, flaky test detection, release validation, and more
- Improve reliability and visibility of engineering pipelines
- Build AI systems for troubleshooting assistance and operational workflows
- Design and implement engineering copilots and internal engineering assistants
- Deploy and maintain production-grade AI services
Requirements
- Strong software engineering fundamentals
- Strong Python skills
- Experience building backend systems, APIs, and automation tooling
- Experience with distributed systems and Linux environments
- Practical experience with LLM systems and AI tooling
- Ability to build production systems, not just prototypes
- Familiarity with CI/CD systems
- Understanding of operational workflows and engineering lifecycle challenges
Tech Stack
- Distributed Systems
- Linux
- Python
Benefits
- Flexible hours and remote work options
- Competitive compensation with different benefits depending on your location and type of contract
- Recognition programs
- Space for creativity and experimentation within the company’s goals
- Supportive, engineering-driven culture with minimal bureaucracy
- The chance to influence infrastructure decisions from day one
- A smart, friendly team that values reliability, simplicity, and automation