Lead the rollout of Go as a fully supported, production-grade platform at Notion. Own service patterns, tooling, and guardrails while tackling high-leverage developer experience challenges across AI workflows, CI, and reliability.
Salary not listed
Hybrid10+ YOEDevOps / SRE
About the role
What You'll Achieve
Build out Notion’s next fully supported language (alongside TypeScript), with a clear operating model teams trust.
Own the success of Go as a platform at Notion, while helping the Developer Experience team tackle whatever engineering productivity bottlenecks matter most.
Establish safe, reliable frameworks and patterns for running Go services at scale (deployment, observability, reliability, and generally “how we do production”).
Enable service architecture, maintenance, and ownership through easy, AI-enabled tooling that reduces toil and raises quality.
Ship a concrete “Go platform v1” that unblocks at least two production teams operating services at real world scale by the 90th day.
Skills You'll Need to Bring
Over 10 years of hands-on software development experience, thriving in fast-paced and dynamic environments.
Deep Go expertise, including experience operating production Go services at scale.
Track record of defining, driving, and owning a platform that other teams adopt: libraries, golden paths, migration playbooks, and guardrails that make systems easier to run.
Strong systems judgment: make trade-offs explicit (speed vs safety, abstraction vs flexibility) and bring teams along without turning it into a committee.
Curiosity and breadth to jump onto the highest-leverage developer experience problems as needed.
Drive to make developers’ lives better: strong interest in keeping engineers in their flow state, and thinking outside of the box to find ways to pave a better golden path for engineers to follow.
Pragmatic and business-oriented: care about business impact, not just going after cool stuff, and prioritize projects accordingly.
Curious and willing to adopt AI tools to work smarter and deliver better results.
Nice to Haves
Experience using AI-enabled developer tooling to increase leverage (scaffolding, maintenance workflows, reliability checks, and reducing repetitive work through better automation).
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