Staff Software Engineer

Summary

Join Voleon, a leading technology company in finance, as a Staff Software Engineer on our Infrastructure Engineering team. You will play a key role in developing core services driving production and research, collaborating closely with hardware and software teams. This position requires building and maintaining foundational services, frameworks, and libraries for data and compute management, working with multiple teams to expand our cloud presence, and enforcing company-wide coding standards. You will also be involved in maintaining CI/CD pipelines, tracking performance metrics, and adopting new technologies. Leadership in complex projects and mentoring other engineers are also expected. The role offers a competitive salary and a comprehensive benefits package.

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

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

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)

Benefits

• Medical, dental, and vision coverage
• Life and AD&D insurance
• 20 days of paid time off
• 9 sick days
• A 401(k) plan with a company match