Senior Software Engineer

Responsibilities:

• Drive R& D; designing, prototyping, and validating new approaches to hard, open-ended problems.
• Own the design and architecture of core systems, from algorithms and data structures to how they're exposed, deployed, and scaled.
• Work independently with minimal hand-holding, comfortably taking a loosely defined problem, figuring out the right approach, and driving it to completion without needing constant direction.
• Use AI coding agents to accelerate development across backend, frontend, and infra, while applying rigorous review, testing, and validation to everything shipped.
• Design and evolve system architecture, including RDBMS schema, APIs, and cloud infrastructure.
• Set up and maintain CI/CD pipelines, and take ownership of deployment, monitoring, and reliability.
• End-to-end responsibility from problem definition through design, development, testing, and release.
• Work in a cross-domain team with ML engineers, immunologists, biochemists, and bioinformaticians, translating scientific problems into engineering systems.

Requirements:

• Strong software design and architecture judgment, able to make and justify design decisions, not just implement them.
• Practical, hands-on experience using AI coding agents (e. g., Claude Code, Cursor, and Copilot) for real engineering work, with the judgment to critically review, test, and validate agent-generated code rather than accept it as-is.
• Strong data structures and algorithms fundamentals.
• Experience working across the stack, comfortable picking up backend, frontend, or infra work as needed, rather than staying in one lane.
• Hands-on experience with cloud platforms (AWS/GCP/Azure) and cloud infrastructure.
• Experience setting up or maintaining CI/CD pipelines.
• Hands-on experience with at least one RDBMS.
• Ability to work and communicate effectively in a cross-domain team.
• Comfort exploring ambiguous, unfamiliar problem statements and adapting fast in an early-stage start-up.

Good to Have:

• Prior professional experience in Go, Python, C++, Bash, and Postgres.
• Experience building tooling around AI agents, custom prompts, eval harnesses, agent orchestration, or MCP-based integrations.
• Familiarity with containerization/orchestration (Docker, Kubernetes) or infrastructure-as-code (Terraform).
• Any experience in data mining or scientific/biological data pipelines.