Senior Software Engineer, Internal Tools & Automation

Tatari•New York, NY

2d•$160,000 - $180,000•Hybrid

About The Position

Tatari is looking for a Senior or Staff engineer to join their engineering team, working closely with the SRE team, to lead how Tatari's engineers build software. The role focuses on improving the developer experience by addressing issues with CI pipelines, flaky tests, confusing deployments, and manual processes. The engineer will drive the strategy and execution for developer experience and AI tooling, including evaluating and rolling out AI coding assistants, building LLM-powered agents and automations, implementing ephemeral developer environments, speeding up the development loop, and measuring the impact of these initiatives. While there will be some contribution to core reliability and infrastructure, the primary focus is on making Tatari's engineers more efficient and happier. This role offers significant agency and the opportunity to collaborate with application engineering, data science, and analytics teams.

Requirements

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
Strong Python and shell scripting skills
Experience with containerization and orchestration (Kubernetes, Docker, or similar)
Experience with infrastructure-as-code (Terraform preferred)
Empathy for the frustrations and toil that slow engineering teams down and an intrinsic drive to fix them

Nice To Haves

Experience running an AI tooling rollout or enablement program at a previous company
Experience with LLM evaluation approaches for internal tooling (measuring quality, not just adoption)
Experience building ephemeral or preview environments (per-PR deployments, namespace-based isolation, sandboxes) in a microservice architecture
Go or Rust
Experience with GitHub Actions at scale, build caching, or test parallelization/flake management
Experience managing RDBMS (Postgres/RDS, Redshift, or similar) and data infrastructure

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