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Staff Software Engineer, Infrastructure Engineering
The Voleon GroupUnited StatesRemotefull_timeVerifiedPosted 18 Mar 2025
💰 $300,000/yr($270,000/yr – $300,000/yr)
About the role
Job Description Voleon is a technology company that applies state-of-the-art machine-learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. As a Staff Software Engineer on our Infrastructure Engineering team, you will be developing the company's core services that drive production and research. You will be expected to work closely with hardware and software teams to build systems that are leveraged by our research and trading teams. Your Team We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers.
Responsibilities
- Help design, implement, and maintain foundational services, frameworks, and libraries for data and compute management
- Work in cooperation with multiple teams to expand and mature our cloud presence
- Develop and enforce company-wide standards related to code quality, code organization, and codebase management
- Work with DevOps to maintain our CI/CD pipelines and ensure that developers can build, test, and deploy changes in a fast and high-quality manner
- Leverage telemetry toolkits to track core performance and reliability metrics of the services we own. Help fulfill rigorous SLAs and performance guarantees
- Help the company survey, evaluate, and adopt major new technologies. Design, coordinate, and execute company-wide adoption plans
- Lead complex multi-team projects. Collaborate across DevOps, SysOps, Engineering, and Research teams to deliver a cohesive platform across research and production
- Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company
Requirements
- Computer Science Degree or equivalent experience
- 7+ years of software engineering experience building high-performance systems
- Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go and C++
- Excellent communication and project management skills in complex technical domains
- Track record mentoring engineers and leading technical direction
Preferred Qualifications
- Experience with ML research platforms and associated frameworks for data processing, batch computing, and research (e.g., Apache Airflow, Kubeflow, Slurm, AWS/GCP Batch, Spark, Dask)
- Expertise in CI/CD, build systems, and best practices for large codebase management (Bazel, Jenkins, Github Actions)
- Exposure to cloud platforms, cloud-native architectures, and tools like Infrastructure-as-Code for managing cloud infrastructure (Terraform, Pulumi, CloudFormation)
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