The Voleon GroupRemote
Senior/Staff Software Engineer, Data Infrastructure Group
United States of America
Full Time
1 week ago
$225,000 - $310,000 USD
H1B Sponsor Likely
Key skills
PythonJavaC++CGoAIMachine LearningSnowflakeBigQueryAirflowKubernetesDockerDynamoDBAthenaCloud StoragePostgreSQLRedisMentoringCommunication
About this role
The Voleon Group is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. As a Senior/Staff Software Engineer on the Data Infrastructure group, you will contribute to scaling and advancing the data infrastructure, collaborating closely with various teams to improve their usage of data and mentoring other engineers on the team.
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
- Familiarity with the following strongly preferred: 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)