What You’ll Do
The Internal Developer Platforms Team‘s mission is to accelerate engineering velocity across the company by delivering world-class internal tooling, environments, and AI-enhanced workflows. This team focuses on developing and supporting robust, scalable environments for developers, including local, testing, and ephemeral setups. Members of this team will drive adoption of AI-driven tools designed to minimize obstacles and maximize developer productivity and innovation.
As an engineer on the team, you’ll focus on building platforms that streamline development workflows, enable scalable and reliable environments, and integrate AI-powered tools to elevate engineering productivity across the organization.
In this role, you will
- Build, and maintain internal developer platforms that power local development, automated testing, and ephemeral environments.
- Develop and integrate AI-powered tools (e.g., code generation, test automation, intelligent code reviews) to enhance developer workflows.
- Collaborate with infrastructure, developer productivity, and security teams to ensure smooth CI/CD, environment provisioning, and compliance.
- Support the lifecycle of environment tooling — from developer onboarding to production deployment.
- Monitor usage, collect feedback, and continuously improve the developer experience across the organization.
- Advocate for and implement best practices in internal tooling, reliability, and performance.
Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.
Who You Are
Minimum Qualifications
- 3+ years of experience in a software or infrastructure engineering industry
- You have experience operating services in production and at scale.
- You’re comfortable with the idea of using Go as your primary programming language.
- Experience with infrastructure-as-code, CI/CD systems (e.g., GitHub Actions, ArgoCD), and containerization (e.g., Docker, Kubernetes).
- Experience building scalable development/test environments, and have worked with ephemeral environments or preview deployments.
- Are familiar or interested in AI/ML-powered developer tools (e.g., code suggestion, IDE tooling).
- Passionate about improving developer experience and enabling other engineers to do their best work.
Preferred Qualifications
- Experience integrating or enabling tools that leverage LLMs or code intelligence for developers (e.g., GitHub Copilot, Cody, custom LLM integrations)
- Experience with KubeVirt, KataContainers
