Senior Software Engineer, Platform Team
Designs and builds distributed systems for scheduling, workflows, and storage abstractions powering research and trading in hybrid environments. Requires 5+ years experience in scalable services, modern languages like Python/Go, and Linux with strong system design skills.
About the job
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, including gathering requirements, software design, and communication
- Provide technical guidance to engineering and research staff
- Mentor and grow individual contributors
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
Skills
Python, Go, Java, C++, Linux, Postgres, Redis, Airflow, Slurm, Kubernetes
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