Software Engineer (Developer Productivity)

Salary: $250k-300k Total compensation: very flexible - dependent on seniority, expectations and performance I'm partnered with a leading high frequency trading firm hiring a Developer Productivity Engineer to build the tools and infrastructure that help engineers ship trading software faster and with more confidence.

The role: You'll own the systems that sit between an engineer's idea and production: build and test infrastructure, CI/CD, local environments and internal tooling. You'll work directly with engineering teams across the firm, find where they lose time, and build platform-level fixes. A growing part of the job is bringing AI-assisted engineering into everyday workflows. That means integrating coding agents, automating routine fixes and evaluating new AI developer tools as they appear. What you'll work on AI workflows: agent skills and configs, auto-remediation of build failures, and measuring impact on developer velocity Build and test acceleration: distributed caching, profiling and flaky test quarantine CI/CD: deployment pipelines, merge queues and automated releases Self-service dev environments, CLI tools, service templates and IDE integrations What we're looking for Strong Python Working knowledge of C++/Java Strong Linux fundamentals Experience with developer tooling, CI/CD or large-scale build infrastructure Hands-on use of AI coding tools (e.g. Claude Code, Codex) in real engineering work. No model training experience needed. Clear communicator, collaborative and low-ego Degree in CS or a related field preferred, though strong professional experience is a good substitute Large, well-regarded tech company background is a strong fit, especially with quick promotions. Trading experience is a bonus. Seniority is flexible. Senior candidates should have deep, hands-on experience with AI-assisted engineering. Earlier-career candidates should be strong on engineering fundamentals and have some exposure to AI-assisted development.