The Voleon GroupRemote
Software Engineer, Data Infrastructure
United States of America
Full Time
1 week ago
$235,000 - $300,000 USD
H1B Sponsor Likely
Key skills
Software designSoftware implementationPythonGoJavaC++LinuxUNIXScalable services designAPI designLarge-scale data infrastructureCAIMachine LearningSnowflakeBigQueryAirflowKubernetesDockerDynamoDBAthenaCloud StorageCommunication
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 Software Engineer on the Data Infrastructure team, you will contribute to scaling and advancing the data infrastructure, collaborating closely with various teams to improve their usage of data.
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)
- 3+ 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
- Strong communication skills and a knack for explaining complex ideas with clarity and simplicity
- Familiarity with cluster management and containerization technologies (e.g. Kubernetes, Docker)
- Familiarity with cloud storage, querying, and processing technologies (e.g. Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena)
- Familiarity with job scheduling and orchestration technologies (e.g. Airflow, Slurm)
- Experience building data platforms with a developer experience lens — designing APIs, access patterns, or tooling that abstracts infrastructure complexity from end users