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The Voleon Group

Software Engineer, Data Infrastructure

Remote, United States (Remote)$235k–$300kfulltimemidAdded today

About this role

Voleon, a multibillion-dollar AI-driven asset manager, seeks a Software Engineer to design and scale data infrastructure supporting research and production workflows. You'll lead complex projects, mentor teammates, and shape the developer experience while collaborating with ML researchers and cross-functional teams.

What you'll do

  • Guide large-scale initiatives from requirements and system design through deployment with stakeholder collaboration
  • Build scalable data infrastructure including data cataloging, versioning, and lineage systems
  • Design and implement data platforms with focus on developer experience and API usability
  • Provide technical mentorship to engineering and research staff
  • Define and execute on the team's technical roadmap for strategic engineering goals
  • Collaborate with ML researchers and diverse engineering teams to improve data accessibility

What they're looking for

  • Software design and architecture for large-scale systems
  • Proficiency in Python, Go, Java, or C++
  • Linux/UNIX development experience
  • Scalable services, APIs, and highly-available systems design
  • Data infrastructure and platforms (Iceberg, BigQuery, Snowflake, Trino preferred)
  • Containerization and cluster management (Kubernetes, Docker preferred)
  • Job orchestration tools (Airflow, Slurm preferred)
  • Strong technical communication and mentorship abilities

Benefits

  • Highly competitive compensation package
  • Fully remote position in the United States
  • Daily catered lunches and modern office access
  • Technology talks by industry experts
  • Collaborative, collegial working environment
  • Opportunity to mentor and shape engineering culture

Likely interview questions

  • Describe a large-scale data infrastructure project you led from design to deployment—what were the key technical challenges and how did you address them?
  • How have you approached building data platforms with a strong developer experience focus, and what design patterns have you found effective?
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