Dayhoff Labs - Infrastructure & Platform Engineer
Requirements
• 5+ years of software engineering with demonstrated ability to own complex technical systems end to end • Databases (relational and/or NoSQL) and data pipeline design • At least one major cloud platform (AWS or GCP) • Strong Python and experience building production services • Hands-on Docker containerization and container orchestration • Understanding of CI/CD practices, version control workflows, and infrastructure testing • Demonstrated ability to work effectively with LLMs as coding assistants and productivity tools • Highly preferred • Highly preferred • Database administration, particularly PostgreSQL and vector similarity search systems • AWS services and infrastructure-as-code tools like Terraform • Scientific computing, ML infrastructure, or building tools for research teams • Familiarity with chemical and biochemical databases • Frontend development with modern frameworks (React, Vue, Angular, or similar) • Logistics • Compensation is highly competitive. We're also able to sponsor visas for the right candidate.
Responsibilities
• Build Horizyn-as-a-service (inference from our main ML model) into a production-ready product for external users: API enhancements, frontend, observability, security hardening, and deployment automation • Design and implement a database system supporting all ML training and data collection, integrating structured biochemistry databases (KEGG, Rhea, ChEBI, PubChem, UniProt) with unstructured experimental data • Manage cloud infrastructure through Terraform across our multi-account AWS organization and CI/CD pipelines, and migrate legacy GCP infrastructure to AWS • Maintain and improve development environments and containerized deployment across AWS and local machines • Serve as on-call technical lead for infrastructure issues and introduce tooling that makes researchers' work easier
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