Staff Cloud Engineer
About The Position
We’re a well-funded start-up. You’ll get a chance to wear many hats, be a part of a growing team, and have the potential for exciting financial and career growth. Here’s what sets us apart. We’ve set our sights on some of the biggest challenges facing biology today. We’re amassing a world class team of engineers, scientists, team builders and problem solvers to tackle these challenges heads-on. We’re passionate about developing the next generation technologies that will unravel the complexities of biology. This is a unique opportunity to build, be part of an exciting start-up and be surrounded by good humans who are super capable, humble and down-to- earth. Reporting into the Sr. Director of Cloud, your role will bring Cellanome’s revolutionary technology to life by designing, developing, and deploying our cloud platform capabilities and tools. As the Staff Cloud Engineer you'll shape how our team builds with AI coding agents, setting the patterns, guardrails, and review standards that let a small team ship at the pace of a much larger one. This is an in-office role and can be based at our Foster City or San Diego site.
Requirements
- Typically requires a minimum of 8 years of relevant professional experience with a Bachelor’s degree; or 6 years and a Master’s degree; or equivalent work experience.
- In depth experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
- Strong test-driven API development using TypeScript. Ability to use tests and clear specifications to guide and verify AI-generated code.
- Hands-on experience using AI coding assistants or agents (e.g., Claude Code, Cursor, GitHub Copilot) in professional software development, with sound judgment on when to trust, verify, or reject their output.
- Proven ability to lead design or architecture (design patterns, reliability, and scaling).
- Experience building cloud technology using AWS. Familiarity with other cloud provider technologies (e.g. Azure and GCP) preferred.
- Experience with large scale systems data analysis, visualization tools, and/or debugging.
- Ability to work in a startup environment at various stages of growth.
- Strong analytical and problem-solving skills, with the ability to troubleshoot problems and develop effective solutions.
- Demonstrated ability to perform the Essential Duties of the position with or without reasonable accommodations.
Nice To Haves
- Early-stage company experience.
- Previous experience in a technical leadership role.
- Experience building LLM-powered features or agent integrations (e.g., tool-calling APIs, MCP servers) into products or internal tooling.
- Pharmaceutical or biotech industry experience.
- Experience as an end-user of related instrumentation.
Responsibilities
- Partner closely with the Computational Biology team to translate scientific workflows into scalable cloud-based solutions.
- Understand client needs, objectives, and challenges to provide tailored solutions and recommendations.
- Collaborate with internal teams (e.g., R&D, product development, regulatory, and marketing) to align solutions with client goals and timelines.
- Design, implement, and maintain cloud software systems, leveraging AWS, TypeScript, and AI-assisted development tools.
- Lead the team’s adoption of AI coding agents: define workflows, guardrails, and review standards so that AI-generated code meets our bar for quality, security, and compliance.
- Serve as a key reviewer of designs and code changes, including AI-generated changes, holding a high bar for correctness, security, and maintainability.
- Optimize data pipelines, storage, and computational workflows for performance, cost, and reliability.
- Develop and document APIs and interfaces to enable seamless integration between tools and technologies.
- Monitor and troubleshoot cloud infrastructure, ensuring high availability and security.
- Stay current with advancements in cloud technologies, AI-assisted development, and computational biology tools to drive innovation.
Benefits
- competitive total compensation packages, including base pay, benefits, and equity
- generous stock options
- great individual, and family health plans
- a 401(k)
- flexibility to balance work and life
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What This Job Offers
Job Type
Full-time
Career Level
Senior
