- 5+ years of experience in DevOps, cloud infrastructure, or software engineering
- AI-forward: you hold everything you build to an AI-native standard
- Strong experience with cloud platforms (AWS preferred; Azure or GCP experience transfers well)
- Experience building and maintaining CI/CD pipelines and managing deployments
- Proficient with Kubernetes in production environments
- Experience with Docker and containerized applications
- Experience with observability tools, including monitoring, logging, and alerting systems
- Strong collaboration skills and the ability to support engineering teams
- A strong communicator who can explain platform complexity and trade-offs clearly to stakeholders
- Expert-level English, spoken and written
What the job involves
- You'd be joining our Infrastructure team within the Platform Engineering division
- We're building an AI-native platform for our internal developers, over 150 of them, guided by a single question: does this shorten the time from idea to value, for the teams building on our platform and for the customers they ultimately serve?
- The smooth path is the safe, quick path, because the platform makes it the default.
We build the route that maximizes AI acceleration
- Design, build, and evolve our cloud infrastructure (primarily AWS) as code, using Terraform to keep every workplace reproducible and legible to both engineers and agents
- Build CI/CD pipelines (GitHub Actions) with guardrails that make agentic releases safe by default
- Manage and scale multi-region Kubernetes clusters
- Maintain and evolve Helm charts and deployment workflows as reusable
- Strengthen observability, monitoring, logging, and alerting, feeding signal back into AI-assisted remediation and define clear alert ownership