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Senior Software Engineer, Internal Tools & Automation
Tatari
Los Angeles, USA
Senior · 5+ years experience
USD 160000-180000 / year
Discovered 1 weeks ago
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Responsibilities
- Own the strategy, roadmap, and execution for developer experience and AI tooling across Tatari engineering
- Evaluate, deploy, and drive adoption of AI coding assistants and agentic development tools across the engineering org including enablement, best practices, guardrails, and cost management
- Design and build internal AI-powered agents and automations for engineering workflows: CI failure triage, incident response tooling, code review assistance, operational runbooks, and internal bots
- Identify and eliminate friction in the development inner loop: CI/CD pipeline speed and reliability, build and test infrastructure, local development environments, and deployment workflows
- Design and implement ephemeral developer environments across our microservice landscape: on-demand, production-like environments for developing, testing, and previewing changes
- Define and instrument developer productivity metrics (DORA-style delivery metrics, AI tooling adoption and impact) and use them to prioritize where the leverage actually is
- Partner with application engineers, data scientists, and analytics teams by sitting with them while they work, learning their current process firsthand, and turning what you observe into improvements they will actually adopt
- Participate in technical architecture discussions
Qualifications
- 5+ years of experience in cloud-based infrastructure, platform, or developer tooling roles (AWS preferred); for Staff level, a track record of driving tooling or platform adoption across multiple teams
- Daily, hands-on use of AI coding assistants (Claude Code, Cursor, Copilot, or similar) in your own workflow, with informed opinions about where they create leverage and where they don't
- Experience building with LLM APIs and agentic workflows (function/tool calling, MCP, prompt design, or agent frameworks)
- Experience owning or significantly improving CI/CD systems, build/test infrastructure, or developer environments, with measurable results
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