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# Software Engineer, Production Platform

- **Company:** Aquatic Capital Management
- **Location:** Chicago, IL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Algorithmic Trading, C++ (Programming Language), Continuous Integration, Software Debugging, Distributed Systems, Python (Programming Language), Software Engineering, Delivery Pipeline, Kubernetes, Information Technology, Low Latency
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_e18c0933d24c9330394347eb0a796d28

## About the Role

* BS/MS in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
 * 4+ years of professional software development experience. We are open to a range of experience levels for the right engineer.
 * Strong python and familiarity with Java and C++ and a track record of building production-grade systems.
 * Experience building and operating distributed systems, deployment pipelines, or internal developer platforms.
 * Familiarity with CI/CD, configuration generation and management, workload orchestration (Nomad, Kubernetes, or similar), and production debugging.
 * Comfortable operating in production environments where uptime, latency, and correctness are of highest importance.
 * Helpful but not required: exposure to trading systems, market data, or model lifecycle management in production.

Candidate Qualities

 * Strong bias for action
 * Driven by accountability and internal urgency
 * A builder's instinct for automation and toil elimination
 * Desire to independently seek best solutions
 * Preference for working in a team that focuses on delivering results aligned with Research and Development goals
 * Comfortable providing and receiving actionable feedback in a collaborative team setting
 * Motivated by an ambitious environment and driven colleagues

## Description

* Ownership of the platform that moves code, models, and data from development into global live trading, with automated dependency resolution and safe, repeatable deployments.
 * Own build and release tooling, including build pinning and approval, promotion workflows, and rollback paths that let engineers ship into production with confidence.
 * Extend deployment orchestration and scheduling infrastructure across regions as we enter new markets, with regional parity as the default rather than the exception.
 * Build observability into deployments and production services so engineers, researchers, and operations can see what is running, what changed, and what broke.
 * Partner with Research and Trading Operations to replace manual operational processes with automation, eliminating toil at the source.
 * Improve the reliability and operability of production systems: alerting, failure handling, fallback, and recovery.
 * Set and hold engineering standards for the platform. Clean, maintainable Python, tested and documented, built to be supported by people who did not write it.