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.
225k – 255k/yr
Remote5+ YOEDevOps / SRE
About the role
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
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