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Mid-level backend role in a metro location with common required skills and visible employer increases competition.
Core backend, DB, and cloud skills are transferable, though HPC/life-sciences domain knowledge narrows fit somewhat.
Explicit 5+ years plus multiple 'expert' language and tech requirements makes filtering strict.
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Architect and optimize high-performance compute and storage systems for Orion, supporting early-stage drug discovery and design.
Collaborate with designers, scientists, and software engineers to build new features and modernize existing backend services.
Drive performance improvements and reliability in distributed systems that enable interactive chemical space exploration and scientific analysis.
Bachelor’s degree in computer science, engineering, biology, chemistry, or similar.
5+ years experience designing, developing, troubleshooting complex distributed systems in a team environment.
Expertise in Python (including pytest, packaging, Django) and GoLang (including testing, packaging, client/server development).
Experience with PostgreSQL, SQLite, relational database optimization, unit & end-to-end testing, CI/CD, source control, and comfortable using command line interfaces.
Experienced backend engineer skilled in Python and Go with strong computer science fundamentals (data structures, algorithms).
Capable of working closely with cross-functional teams including science and design, often across time zones.
Experience or interest in life sciences, HPC, cloud environments (AWS), and containerized systems such as Docker.