Senior Engineer, Developer Experience & AI Tooling

Tatari; United States; Hybrid; USD 160,000 - 180,000; Full time

Benefits offered by this job

Equity compensation

Health insurance

401K

Commuter benefits

$150 monthly spending account

Annual education benefit

Newbie Productivity Perk

Unlimited PTO and sick days

Wellness day off

Snacks and catered lunches

Team building events

Hybrid RTO

Job summary

Tatari is seeking a Senior or Staff engineer to lead developer experience and AI tooling across the engineering org. You will drive evaluation and adoption of AI coding assistants, build internal AI-powered agents, and accelerate the edit-build-test-deploy loop within a fast-moving, AI-enabled environment.

You will work closely with SRE, data science, and analytics teams to design episodial environments, measure productivity with DORA metrics, and ensure scalable, reliable infrastructure across

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
• 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

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 episodial 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

Skills

Cloud infrastructure

AI tooling

Python

Shell scripting

Kubernetes

Terraform

CI/CD

LLM APIs

Tools

Docker

Kubernetes

Terraform

GitHub Actions

PostgreSQL

Job description

Tatari is seeking a Senior or Staff engineer to lead developer experience and AI tooling across the engineering org. You will drive evaluation and adoption of AI coding assistants, build internal AI-powered agents, and accelerate the edit-build-test-deploy loop within a fast-moving, AI-enabled environment.

You will work closely with SRE, data science, and analytics teams to design episodial environments, measure productivity with DORA metrics, and ensure scalable, reliable infrastructure across