On-site developer productivity engineer for a large quantitative trading firm's newly formed team in Illinois: builds CI/CD pipelines, build/test infrastructure, auto-remediation, and internal AI-assisted coding workflows (agents like Claude Code and Codex). Core stack is Python, C++, Java, and Linux.
One of the world's most technically rigorous quantitative trading firms is hiring for a newly created role on their Software Development team. This is developer productivity engineering at the sharpest end of the industry - where the tools and pipelines you build sit directly beneath a firm whose edge depends on engineers shipping reliable software fast.
The Role
This is a hands-on software engineering position for someone who builds and owns the developer tooling, automation, and AI-assisted workflows that let engineers across the firm ship confidently. You'd be joining a new team with a clear mandate: remove friction, accelerate delivery, and bring AI-assisted engineering into the day-to-day workflow.
Build and own CI/CD pipelines, build infrastructure, and test acceleration systems across a large, fast-moving codebase
Implement internal AI coding workflows that let engineers delegate well-scoped work to coding agents
Build auto-remediation flows that detect and fix common build failures without human intervention
Evaluate and adopt new AI-powered developer tools, writing shared configurations and skills for agents like Claude Code and Codex
Automate local development environment setup and reduce drift between local, CI, and production environments
Build and maintain standard CLI tools, starter service templates, and IDE integrations used across engineering
Work directly with engineering teams to understand where friction exists and build platform-level solutions that remove it
Partner with engineering leadership to define and track developer productivity metrics
Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field
3+ years of experience as an infrastructure-focused software engineer
Deep, production-level Python expertise across the language and its ecosystem
Experience building or maintaining developer tooling, CI/CD systems, or infrastructure at scale
Hands-on experience using AI coding tools or agents in a real engineering workflow, including writing skills or configurations for them
Experience working with C++ and Java
Strong Linux fundamentals
Low ego - able to work both collaboratively and autonomously
Strong communicator, comfortable working directly with engineering teams to understand and prioritise pain points
Preferred Skills (not required)
Experience with build systems such as Bazel or similar at scale
Familiarity with distributed build caching, merge queues, or automated release tooling
Experience with agentic AI frameworks beyond standard tooling
Prior experience in financial services or a latency-sensitive production environment
Background at a large, high-calibre technology company is a strong fit
Benefits
Compensation is among the most competitive in the industry for this type of role
Medical, dental and vision insurance effective Day 1
401(k) with employer match
HSA with company-funded contributions
Catered breakfast, lunch, and dinner daily
Monthly tech stipend
Complimentary gym membership
Pre-Application:
Please do not apply if you are looking for a contract or remote work
You must be eligible to live and work in the US, without requiring sponsorship
Please ensure you meet the required experience section prior to applying
Allow 1-5 working days for a response to any job enquiry
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