# Senior Software Engineer, Internal Tools & Automation

**Company:** [Tatari](https://hotfix.jobs/companies/tatari)
**Location:** Los Angeles, CA, New York, NY, San Francisco, CA
**Role:** DevOps / SRE
**Salary:** $160k – $180k/yr
**Experience:** 5+ years
**Skills:** AWS, Python, shell scripting, LLM APIs, Agentic Workflows, CI/CD, Kubernetes, Docker, Terraform, GitHub Actions, Microservices, Postgres, Redshift, Go, Rust
**Posted:** 2026-08-07

> Leads developer experience and AI tooling across the engineering organization, building internal agents, ephemeral environments, and faster CI/CD workflows. Requires 5+ years in cloud infrastructure, platform, or developer tooling, plus hands-on AI assistant and LLM workflow experience.

## Job Description

## 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.

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