Design and develop distributed systems for research and trading workflows, enhancing reliability and performance. Lead projects, mentor engineers, and collaborate across teams.
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.
In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.
As a Senior Software Engineer on the Software Platform team, you will design and evolve the distributed systems that power research and trading workflows across on-premises and cloud environments. The team owns core distributed services, cloud platforms, job scheduling and execution systems, and standardized storage interfaces — delivering reliable, scalable services that abstract away infrastructure complexity.
Operating at the heart of the firm’s platform, this is a high-impact area: the systems you build directly shape the reliability, performance, and scalability of research and production workloads across the organization.
You will partner closely with Infrastructure, Security, application engineering teams, and ML researchers to deliver foundational platform capabilities that improve reliability, performance, and productivity firm-wide — enabling engineers and researchers to focus on domain-specific innovation. This role operates at the platform services layer (not bare-metal infrastructure) and emphasizes distributed systems design, strong abstractions, and operational excellence.
We look for engineers who are motivated by solving complex problems through strong fundamentals and thoughtful system design. You’ll work in a highly collaborative environment that values experimentation, clear ownership, and efficient execution. Our team includes experienced engineers from leading technology companies and top academic programs, working closely with infrastructure specialists and machine learning researchers to build resilient, high-leverage systems that power the firm.
Responsibilities
- Design and implement distributed scheduling and workflow systems
- Improve job prioritization, resource allocation, and orchestration across hybrid environments
- Build scalable, reliable platform services and storage abstractions
- Lead complex projects from design through production delivery
- Improve system reliability, observability, and operational performance
- Provide technical leadership and mentorship across the team
- Lead complex projects from start to finish, which includes gathering project requirements, translating them into a rational software design, reasoning effectively about supporting or dependent technologies, and communicating effectively with collaborators and teammates
- Provide technical guidance to engineering and research staff
- Mentor and grow individual contributors to continuously up-level the team
Requirements
- Computer Science / Engineering degree, or equivalent experience
- 5+ years of software engineering experience
- Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale
- 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)
- Familiarity with job scheduling and orchestration technologies (e.g. Airflow, Slurm)
- Familiarity with cloud-based data storage, querying, and processing technologies
- Work with large codebases and experience building modular, extensible, and maintainable software
- Strong communication skills and a proven ability to explain complex ideas with clarity and simplicity
Top Skills
Airflow
Artifactory
C++
Ceph
Go
Java
Linux/Unix
Postgres
Python
Redis
Slurm
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