Software Engineer 2 - Development Infrastructure

Remote · USD 149,200-214,500 · 2+ years experience · Remote · Posted Oct 9, 2026

At a glance

The Development Infrastructure team plays a critical role in multiplying the impact of our product teams by creating an environment that fosters high-quality software development and engineering excellence.
You will lead the design and delivery of complex, multi-component features and systems, developing and maintaining CI/CD infrastructure and tools for Engineering.

Lead the design and delivery of complex, multi-component features and systems of the Development Infrastructure team's offerings, and shape the roadmap for this area.
Develop and maintain CI/CD infrastructure and tools for Engineering to develop and ship their changes reliably with less effort.
Design and implement enhancements to GHA infrastructure, base Docker images and build/deploy pipelines with improvements in scalability, performance and costs.
Use AI tools to explore and compare solutions, and adapt the generated changes to real production constraints, weighing system complexity and long-term maintainability.
Take ownership of on-call issues, including complex issues where the root cause is unclear, and fix the systemic gaps behind them.
Participate in planning, code reviews, standups, and other aspects of the software development life cycle, and coach other engineers on the team.

3+ years of professional experience as a hands-on engineer building backend systems and/or platforms.
2+ years of experience working with Python.
Experience delivering complex projects end-to-end in a cloud native environment.
Experience building or operating CI/CD, build, or deployment systems in production, including on-call and incident response.
Understanding of distributed systems, containerization and microservices.
Practical experience using Generative AI tools in day-to-day engineering workflows.

Experience creating and maintaining CI/CD systems.
Experience with GitHub Actions.
Experience with Go.
Experience with Bazel.
Experience working on or with teams like “Engineering Effectiveness”, “Engineering Productivity”, “Development Experience”, “Development Infrastructure” or similar.
Knowledge of Docker, Kubernetes, or similar technologies.
Familiarity with Generative AI tools such as Codex and Claude, and experience driving AI-first workflows and solutions.