Senior Developer Experience Engineer
- Hiring from
- United States
- Work type
- Hybrid
- Posted
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About Entegrata
Entegrata helps law firms turn data into decision-grade insights. Founded in 2023 and headquartered in Indianapolis, we are a venture-backed SaaS company delivering a turnkey, Azure-based data lakehouse platform purpose-built for law firms. Our platform consolidates siloed legal, operational, and financial data into a single governed source of truth, with AI-powered analytics on top. Our mission is to become the data platform of choice for the top law firms in the world.
The Role
Every engineer loses time to slow builds, flaky tests, painful releases and repetitive chores. Multiply that across a growing team and it decides whether the team slows down as it grows or speeds up. Your job is to make sure we speed up.
As our Senior Developer Experience Engineer, you will own the tools and workflows our engineers use to build, test and ship, from a laptop all the way to production. AI is your main lever: you will reach for agents and automation first, building shared AI setups and reusable skills, using agents to triage failing builds and flaky tests, and automating toil like feature flag cleanup and docs that update themselves. Along the way, you will move us to automated, trunk-based releases controlled by feature flags and give engineers fast local setups and reliable places to test before production.
This is a hands-on IC role with reach across every engineering team. You will partner with Engineering Leadership and Product to find the biggest sources of friction and remove them in small increments. You will also help set the shared practices, guardrails and quality gates that agent-written work passes through on every team. Agents write the first pass; engineers stay accountable for what ships. This role is for an engineer who loves building the tools other engineers rely on and wants to shape how a modern team works with AI.
Key Responsibilities
- Lead AI enablement for engineering. Build shared AI setups, reusable skills and agents, and the practices teams follow. Evaluate and roll out new AI tools with clear guardrails, and track usage and impact.
- Own CI/CD and releases. Keep pipelines and PR checks fast and reliable, and move releases to automated, trunk-based pipelines controlled by feature flags, with a clear hotfix path. Use AI agents to triage failing builds and flaky tests.
- Improve local, dev and staging environments. Give engineers a fast local setup and reliable places to test release candidates before production.
- Automate the toil. Build tooling and AI agents that handle repetitive work, such as feature flag lifecycles and cleanup, and docs that update themselves from code changes.
- Help engineers ramp up and stay unblocked. Improve onboarding docs and tools, including an AI assistant for new hires, and make on-call easier with better runbooks, dashboards and AI alert summaries.
30-60-90 Day Expectations
- First 30 days: Meet every engineering team, map the biggest sources of friction, and publish a prioritized DX backlog with baseline metrics (build time, PR cycle time, release frequency, time to onboard, AI usage). Ship your first quick wins.
- By 60 days: Have automated release pipelines and a local development environment well underway, and shared AI skills in use by at least two teams.
- By 90 days: Automated releases for frontend and backend with a hotfix path; docs that update themselves; shared AI and onboarding tools in use across teams; on-call runbooks and dashboards in place; an AI usage and impact dashboard live for leadership.
Required Qualifications
- 5+ years of software engineering experience, including 2+ years in platform, DevOps, build or developer experience work
- Strong experience with GitHub Actions or similar CI/CD tools, containers and infrastructure as code
- Writes production code, not just tooling, so you understand the workflows you improve
- Uses AI coding tools daily (Claude Code or similar) and enjoys helping teammates find workflows that save them time
- Has built AI-powered tooling, not just used it: skills, agents, MCP servers or AI steps in CI
- Clear writer and teacher who can drive change across teams without formal authority
Preferred Qualifications
- Experience building staging or ephemeral environments
- Experience with feature flags and trunk-based development
- Experience with Azure, Kubernetes and Pulumi or Terraform
- Experience with on-call tooling or observability
- Experience automating workflows in CI/CD, such as publishing docs with Mintlify
- Enterprise SaaS or legal tech background
Technology Stack
Azure, GitHub Actions, Docker, Kubernetes, Pulumi, Go, Node.js, SQL, Mintlify, Claude Code
Compensation and Benefits
Competitive salary, medical, dental, and vision insurance, 401(k) with employer match, unlimited PTO and company holidays, professional development support, and flexible hybrid work.
Equal Opportunity
Entegrata is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic.
