Senior Data Infrastructure Engineer for AI Finance

The Voleon Group; Berkeley (CA); On-site; USD 225,000 - 310,000; Full time

Benefits offered by this job

Daily catered lunches

Beautiful modern office

Competitive compensation and benefits

Job summary

The Voleon Group is seeking a Senior/Staff Software Engineer to join our Data Infrastructure group in Berkeley. You will contribute to scaling and advancing our data infrastructure, building data tooling, and shaping a strategic technical roadmap.

You will mentor engineers, collaborate across teams, and help deliver large-scale projects that improve research and production workflows. Strong Python/Go/Java/C++ skills and Linux experience are essential.

Qualifications

• BS in Computer Science or Engineering or equivalent.
• 5+ years of relevant software engineering experience.
• Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale.

Responsibilities

• Guide complex initiatives from initial requirements gathering and robust system design to deployment, effectively evaluating dependent technologies and collaborating closely with stakeholders.
• Build scalable data infrastructure and shape the developer experience, tackling projects such as owning data cataloging, versioning, and lineage to support seamless research and production workflows.
• Provide technical guidance to both engineering and research staff, fostering a supportive environment that accelerates the growth of your teammates.

Skills

Python

Go

Java

C++

Linux/UNIX

Education

Bachelor's degree in Computer Science or Engineering

Tools

Kubernetes

Docker

PostgreSQL

Redis

Artifactory

Ceph

Job description

The Voleon Group is seeking a Senior/Staff Software Engineer to join our Data Infrastructure group in Berkeley. You will contribute to scaling and advancing our data infrastructure, building data tooling, and shaping a strategic technical roadmap.

You will mentor engineers, collaborate across teams, and help deliver large-scale projects that improve research and production workflows. Strong Python/Go/Java/C++ skills and Linux experience are essential.