Platform Engineer: Developer Tools & AI

United States Digital Space LLC; New York (NY); Hybrid; USD 104,000 - 176,000; Full time

Benefits offered by this job

Equity

Hybrid work

Annual learning stipend

Flexible PTO

Great place to workrecognized

Job summary

Braze, a leading customer engagement platform, is expanding its Platform Software Engineer team. You will contribute to building self-serve infrastructure, governance for AI agents, and robust tooling to empower engineers across a global, remote-friendly setup.

You will shape infrastructure-as-a-service primitives and drive observability while collaborating with distributed teams and embracing hybrid work. This is a fast-growing, impactful role.

Qualifications

• 5+ years of experience building developer tooling, CI/CD pipelines, or similar software.
• Comfortable with Kubernetes as something you build on top of and deploy to, not something you spend your day administering.
• Care more about service and software design than language syntax.
• Built or explored developer platform integrations such as GitHub Apps, internal CLIs, or MCP, with a clear POV on AI tooling.

Responsibilities

• Turn infrastructure primitives into simple, self-serve paths for engineers to build, test, and ship smoothly.
• Build frameworks and guardrails for deploying internal AI agents safely, with governance controlling access.
• Partner with engineering to define infrastructure-as-a-service primitives, monitor, and meet enterprise SLAs.
• Provide abstractions, tooling, and guardrails to use platform primitives safely while improving observability and ergonomics.
• Help shape on-call support as the team grows, backed by platform support.

Skills

Kubernetes

Developer tooling

CI/CD pipelines

Software design

Remote collaboration

Tools

GitHub Apps

Internal CLIs

MCP (Model Context Protocol)

Job description

Braze, a leading customer engagement platform, is expanding its Platform Software Engineer team. You will contribute to building self-serve infrastructure, governance for AI agents, and robust tooling to empower engineers across a global, remote-friendly setup.

You will shape infrastructure-as-a-service primitives and drive observability while collaborating with distributed teams and embracing hybrid work. This is a fast-growing, impactful role.