Staff Developer Experience Engineer

Vetcove•Remote, Remote

4d•$170,000 - $230,000•Remote

About The Position

Vetcove is seeking a Staff Engineer to modernize how software is built across the company. The role owns the tools, infrastructure, and workflows that help engineers ship faster and enable teams across the business to build. It focuses on applying AI and coding agents throughout the software development lifecycle, improving the path from code changes to production, automating repetitive engineering work, and making reliable development workflows easy to adopt. The position works directly with engineering leadership and teams across the business in a fully remote, collaborative environment. The successful candidate will identify and remove major engineering bottlenecks, experiment with developer tools and AI models, and lead the adoption of effective solutions. This is a hands-on role involving technical direction, implementation, and measuring the impact of improvements. Vetcove’s stack includes Python/Django and React/TypeScript, along with supporting infrastructure. The typical U.S. base salary range is $170,000–$230,000 per year, plus bonus, equity, and benefits. A different range applies to specific locations; for Colorado, the stated range is $190,000–$210,000, plus bonus, equity, and benefits. Compensation may vary based on skills, qualifications, experience, and location. Employment is contingent upon successful completion of a background check. Vetcove is unable to sponsor work visas at this time.

Requirements

Deep conviction that AI is changing software engineering, supported by hands-on experience using coding agents and building AI-powered workflows.
Strong software engineering fundamentals and experience designing, shipping, and operating production systems.
Experience improving CI/CD, testing infrastructure, development environments, or internal tooling, with a track record of increasing engineer productivity.
Familiarity with agent SDKs, agent harnesses, tool integrations, and infrastructure that enables agents to work effectively on real codebases.
Technical judgment to determine when to buy a tool, build a solution, or choose a simpler approach.
Ability to take an ambiguous problem, set technical direction, and carry it through implementation and adoption.
Comfort working across Python/Django and React/TypeScript, as well as the supporting infrastructure.
Collaborative, hands-on approach, including willingness to pair with teammates and understand and address their workflow obstacles.

Responsibilities

Build and improve AI-enabled development workflows from idea through working software.
Equip coding agents with the context, tools, environments, and feedback loops needed to handle increasingly ambitious tasks.
Improve CI and deployment workflows by reducing slow tests, flaky builds, manual steps, and unnecessary waiting.
Automate repetitive engineering work, including triage, code review, testing, documentation, and releases.
Build connections, infrastructure, and deployment paths that allow non-engineering teams to create and maintain apps and automations.
Evaluate and introduce models, coding agents, and developer infrastructure, and lead their rollout across the company.
Build testing, permissions, sandboxing, and observability into workflows to support fast and reliable work.
Work with engineers, share effective practices, and make improved ways of building easy to adopt.
Identify major team bottlenecks, remove them, and measure whether engineering teams are shipping faster with less friction.