Мэтч & Сопровод
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Описание вакансии
TL;DR
Staff Backend Engineer (Go): Building and scaling the Go platform at Notion with an accent on developer experience, service reliability, and production-grade infrastructure. Focus on designing paved paths for Go services, optimizing CI/CD workflows, and enabling AI-assisted development to improve engineering productivity.
Location: Must be based in or able to work from San Francisco or New York City (Hybrid: Mon, Tue, Thu in-office)
Salary: $299,000–$352,000 per year
Company
Notion is a collaborative AI workspace that integrates knowledge, projects, and tools into a single platform for millions of users.
What you will do
- Lead the adoption and operational support of Go as a primary language at production scale.
- Establish reliable frameworks, deployment patterns, and observability standards for Go services.
- Develop easy-to-use, AI-enabled tooling to reduce developer toil and improve service quality.
- Collaborate with the Developer Experience team to solve engineering productivity bottlenecks.
- Drive platform adoption through libraries, migration playbooks, and clear architectural guardrails.
- Ship a concrete Go platform v1 to unblock production teams within the first 90 days.
Requirements
- Over 10 years of hands-on software development experience.
- Deep Go expertise with a track record of operating production services at scale.
- Proven experience defining and driving platform initiatives that other teams adopt.
- Strong systems judgment with the ability to make explicit trade-offs between speed and safety.
- Must be based in or able to work from San Francisco or New York City.
- Ability to work in-office on Mondays, Tuesdays, and Thursdays.
Nice to have
- Experience with AI-enabled developer tooling and automation.
- Experience operating production-scale Kubernetes clusters.
- Familiarity with TypeScript in large-scale codebases.
Culture & Benefits
- Competitive cash compensation and equity packages.
- Focus on craft, human-centric work, and intellectual curiosity.
- Collaborative environment that encourages tinkering and discovery.
- Commitment to diversity and equal opportunity employment.
- Supportive culture that values AI as a real collaborator in daily work.
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