Quantitative Development - DevOps Engineer
Core
Design and implement infrastructure to improve research and development velocity for quantitative trading and execution workflows.
Role type
Senior DevOps Engineer (Quantitative Research)
Builds
Dependable, reproducible polyglot environments (Python, native extensions, CUDA) and CI/CD pipelines for research and live trading applications.
Domain
Quantitative finance / High-performance computing
Deliverable
production ML models
Required skills
Linux internals, Python internals, modern Python packaging (uv, hatchling), containerization (Kubernetes, Nix, Conda, Pixi), CI/CD pipeline design, high-availability production deployment, systems architecture
Preferred skills
Experience with HPC environments, machine learning research infrastructure, cloud-based infrastructure scaling
Technologies
Python, CUDA, Kubernetes, Nix, Conda, Pixi, uv, hatchling, Linux
Responsibilities
Design and implement infrastructure to improve research and development velocity; Establish and enforce engineering and infrastructure best practices; Build dependable, reproducible polyglot environments; Develop CI/CD pipelines, monitoring solutions, and job automation frameworks; Create solutions for profiling and monitoring application and infrastructure performance.
Seniority
Senior, hands-on IC