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# Staff Software Engineer

- **Company:** The Voleon Group
- **Location:** United States
- **Experience:** Expert
- **Salary:** $15,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Big Data, BigQuery, Unix, C++ (Programming Language), Cloud Storage, Software Documentation, Data Infrastructure, Linux, Amazon DynamoDB, Job Scheduling, Python (Programming Language), PostgreSQL, Machine Learning, Meta-Data Management, Software Maintenance, Systems Development Life Cycle, Redis, Requirements Management, Software Engineering, Management of Software Versions, Ceph (Software), Scripting, Data Storage Technologies, Snowflake, Containerization, Kubernetes, Information Technology, Codebase, Data Management, Slurm, Docker, Artifactory, Golang, Programming Languages
- **Published:** August 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-staff-software-engineer-data-infrastructure-group-new-york-ny--51014557-f817-43fe-a6a0-9a12350a5094

## About the Role

* 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 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), Application Programming Interface (API), Artificial Intelligence (AI), Asset Management, C++ Programming Language, Cataloguing, Cloud Storage, Communication Skills, Computer Science, Data Management, Data Storage, Detail Oriented, Docker, Federal Laws and Regulations, Finance, Genetics, Go Programming Language (Golang), Investment Management, Java, Large-Scale Systems, Linux Operating System, Machine Learning, Machine Tool, Mentoring, PostgreSQL, Problem Solving Skills, Programming Languages, Python Programming/Scripting Language, Redis, Requirements Management, Scalable System Development, Software Design, Software Engineering, Team Lead/Manager, Team Player, Technical Leadership, Unix Operating Systems, User Documentation

## Description

As a Senior/Staff Software Engineer on our Data Infrastructure group, you will contribute to scaling and advancing our entire data infrastructure. This includes building data-related infrastructure and tooling, and collaborating closely with various teams to facilitate and improve their usage of data. You will work with our team lead to design, scope, and deliver large scale projects within the team. You will collaborate closely with a diverse group of engineers, and directly impact the teams productivity and successful delivery. You will help to define the teams technical roadmap towards achieving strategic-level engineering goals. Youll participate in mentorship and development of other engineers on the team, and shaping our companys engineering culture.

We seek brilliant thinkers who are passionate about taming complexity and solving problems through innovation and rigorous engineering. You'll work in a collaborative environment that encourages creative thinking and experimentation, and values efficiency and attention to detail. Our engineers come from leading technology companies and top academic programs. Our team partners closely with machine learning researchers. We pride ourselves on being kind, friendly, and down-to-earth, and look for people who share those qualities.

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.


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