Job Description

DevEx Engineer

Location: SF Bay Area Preferred (Remote Considered for Exceptional Candidates)
Company Stage of Funding: Series C AI Infrastructure Company
Office Type: Hybrid / Flexible Remote
Salary: $130K–$400K + Equity

We’re representing a rapidly scaling AI infrastructure company building the systems powering next-generation AI model development and evaluation. Their platform supports some of the world’s leading AI organizations by enabling highly specialized human intelligence workflows used in training frontier models.

The engineering organization operates in an extremely high-velocity environment focused on shipping scalable internal tooling, developer infrastructure, and evaluation systems. The company is profitable, scaling aggressively, and backed by top-tier investors, with a deeply technical and execution-oriented culture.

This role sits within a small but highly leveraged applications platform team responsible for improving developer velocity across a growing engineering organization and contractor ecosystem. The mission is to dramatically reduce the friction involved in building, testing, and deploying new applications.

What You Will Do

• Own and improve CI/CD pipelines across complex multi-service environments
• Build and maintain scalable end-to-end testing infrastructure for production systems
• Improve monorepo local development workflows and developer tooling
• Create internal platform tooling that allows engineers and external contributors to ship reliable applications faster
• Design systems that dramatically improve developer productivity and reduce operational bottlenecks
• Support distributed engineering contributors without creating dependency on a small internal platform team
• Build reproducible developer workflows across containerized environments and multi-service architectures
• Improve deployment safety, debugging workflows, testing reliability, and release processes
• Collaborate closely with platform, infrastructure, and engineering leadership teams on developer experience strategy

Ideal Background

• 4–8 years of software engineering experience with strong infrastructure, platform, or DevEx focus
• Proven ownership of production-grade CI/CD systems at scale
• Deep experience with Python, Docker, GitHub Actions, and containerized development workflows
• Experience building or maintaining monorepo-based local development environments used daily by engineering teams
• Strong instincts around end-to-end testing in messy, distributed, multi-service systems
• Platform-minded engineer who focuses on improving engineering velocity and developer workflows
• Comfortable operating in ambiguous, fast-moving startup environments with high ownership expectations
• Strong systems-thinking mindset with practical debugging and operational instincts
• Experience supporting external contributors, contractors, or large engineering ecosystems is highly valued

Preferred

• Experience at developer-platform-focused companies or infrastructure-heavy startups
• Familiarity with Playwright, Modal, Temporal, Dagster, or similar tooling
• Experience building developer platforms, internal tooling, CI systems, or build systems at scale
• Exposure to platform engineering in high-growth startups with strong engineering cultures
• Experience improving local development experience for large monorepos or distributed service architectures
• Background in developer productivity, release engineering, or testing infrastructure

Compensation and Benefits

• Competitive compensation package including salary, equity, and bonuses
• Relocation assistance available for candidates moving closer to the office
• Monthly meal stipend and wellness-focused benefits
• Opportunity to own foundational developer infrastructure at a rapidly scaling AI company
• High-autonomy, high-ownership engineering environment with strong technical talent density
• Direct impact on how engineers build, test, and deploy applications across the organization