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The Voleon GroupThe Voleon GroupBerkeley, CA

Senior/Staff Software Engineer, Data Infrastructure Group

Builds and scales data infrastructure including cataloging, versioning, and lineage to support research and production workflows. Collaborates with engineers and researchers, provides technical guidance, and mentors teammates requiring 5+ years experience in software engineering and data technologies.

225k – 310k/yr
Remote5+ YOEData Engineering

About the role

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.

Requirements

  • Computer Science / Engineering bachelor's degree (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
  • Experience working with large codebases and building modular, extensible, and maintainable software
  • Expertise in a modern programming language, such as Python, Go, Java or C++
  • Hands-on experience developing in a Linux/UNIX environment
  • Design and implementation of scalable services and APIs, highly-available systems, and/or large-scale data infrastructure
  • Experience with data storage and management technologies (e.g. PostgreSQL, Artifactory, Ceph, Redis)
  • Strong communication skills and a knack for explaining complex ideas with clarity and simplicity

Preferred Qualifications

  • Familiarity with cluster management and containerization technologies (e.g. Kubernetes, Docker)
  • Cloud storage, querying, and processing technologies (e.g. Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena)
  • Experience building data platforms with a developer experience lens — designing APIs, access patterns, or tooling that abstracts infrastructure complexity from end users
  • Job scheduling and orchestration technologies (e.g. Airflow, Slurm)

Skills

PythonGoJavaC++PostgresKubernetesDockerBigQuerySnowflakeAirflowLinuxRedisCephIcebergDynamoDB

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