The opportunity
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
What you'll do
Turn Braze's infrastructure primitives, like deployment, provisioning, and: testing, into simple, self-serve paths so engineers can build, test, and ship without stitching multiple systems together themselves
Build the frameworks and guardrails that let engineering teams deploy: internally-built AI agents safely, including governance that controls what an agent can access and do
Partner with Braze's engineering teams to define infrastructure-as-a-service: primitives, build monitoring and alerting that catches issues early, and help Braze meet its enterprise-grade SLAs
Provide the opinionated abstractions, tooling, and guardrails that let: engineering teams use platform primitives safely, and keep improving the observability and everyday ergonomics of the tools they depend on
This team doesn't run a formal on-call rotation yet. As one stands up, you'll: help shape it, backed by Braze's dedicated platform support team who already absorb most day-two firefighting
+ years of experience building developer tooling, CI/CD pipelines, or: similar software. This is not an entry-level or new-grad role
What they're looking for
- Comfortable with Kubernetes as something you build on top of and deploy to,: not something you spend your day administering
- You care more about good service and software design than which language: you're writing in. A growing share of code today gets written by AI tooling, so design judgment matters more than raw output
- You've built or explored developer platform integrations such as GitHub Apps,: internal CLIs, or MCP (Model Context Protocol), and you use AI tools in your own workflow with a clear point of view on where they help and where they don't
- You think about systems: interfaces, boundaries, edge cases, and failure modes
