Senior Software Engineer, Internal Tools & Automation

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, including enablement, best practices, guardrails, and cost management.
• Design and build internal AI-powered agents and automations for engineering workflows, including CI failure triage, incident response tooling, code review assistance, operational runbooks, and internal bots.
• Improve the development inner loop, including CI/CD speed and reliability, build and test infrastructure, local development environments, and deployment workflows.
• Design and implement ephemeral developer environments across a microservice landscape for developing, testing, and previewing changes.
• Define and instrument developer productivity metrics, including DORA-style delivery metrics and AI tooling adoption and impact.
• Partner with application engineering, data science, and analytics teams to identify and implement process improvements.
• Participate in technical architecture discussions.

Requirements

• 5+ years of experience in cloud-based infrastructure, platform, or developer tooling roles; AWS experience is preferred.
• For Staff level, a track record of driving tooling or platform adoption across multiple teams.
• Daily, hands-on use of AI coding assistants such as Claude Code, Cursor, or GitHub Copilot.
• Experience building with LLM APIs and agentic workflows, including 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.
• Strong Python and shell scripting skills.
• Experience with containerization and orchestration.
• Experience with infrastructure as code; Terraform is preferred.
• Empathy for engineering-team friction and a drive to eliminate toil.

Nice-to-haves

• Experience running an AI tooling rollout or enablement program.
• Experience with LLM evaluation approaches for internal tooling.
• Experience building ephemeral or preview environments in a microservice architecture.
• Go or Rust experience.
• Experience with GitHub Actions at scale, build caching, or test parallelization and flake management.
• Experience managing relational databases and data infrastructure, including Postgres, RDS, or Redshift.

Compensation and Benefits

• Total compensation: $160,000–$180,000 annually.
• Equity compensation.
• Health insurance coverage for employees and dependents.
• 401(k), FSA, and commuter benefits.
• $150 monthly spending account.
• $1,000 annual continued education benefit.
• $500 Newbie Productivity Perk.
• Unlimited PTO and sick days.
• Monthly company wellness day off.
• Snacks, drinks, and catered lunches at the office.
• Team-building events.
• Hybrid schedule with two days per week in the office.