You will work across the stack—from backend services and data pipelines to user-facing web applications—building reliable, scalable systems that turn complex biological data into actionable insights.
Responsibilities
Develop high-performance full-stack applications that translate complex biological data and operational needs into intuitive software using Python and modern JavaScript frameworks
Champion an AI-first mindset, leveraging generative AI tools and LLM-based assistants to accelerate feature development, optimize code quality, and automate routine engineering tasks
Collaborate with cross-functional domain experts to architect and operate on biological datasets (genomic, diagnostic, or epidemiological), ensuring that surveillance workflows maintain high standards for data integrity, provenance, and security.
Influence the technical roadmap and long-term evolution of the Biosecurity platform, identifying and mitigating technical debt and architectural bottlenecks before they impact delivery.
Design and implement robust CI/CD pipelines where automated unit, integration, and security testing are treated as mandatory gates for every code deployment.
Drive engineering excellence by leading technical design reviews and providing critical feedback on software modularity, while upholding rigorous standards for documentation, observability, and long-term maintainability
Support production systems by monitoring performance, troubleshooting issues, and continuously improving reliability, including on-call support and triage in off hours
Minimum Requirements
6-8+ years of professional software engineering experience, with significant full-stack development work, including ownership of complex systems and cross-team technical initiatives.
Strong proficiency in Python for backend development (our primary programming language).
Experience building and consuming APIs (REST and/or GraphQL).
Experience developing modern web frontends using JavaScript/TypeScript and frameworks such as React.
Demonstrated ability to integrate AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) into daily workflows to increase productivity and code reliability
Proven experience collaborating domain experts (scientific, operations, product, etc) to translate complex biological data (genomic, diagnostic, or epidemiological) into robust software solutions and actionable insights
Solid grounding in software engineering fundamentals: data structures, system design, version control, and modern CI/CD patterns for automated testing and deployment
Preferred Capabilities and Experience
Prior experience in bioinformatics, computational biology, public health, or a related domain.
Familiarity with cloud infrastructure (e.g., AWS) and containerized environments (Docker, Kubernetes).
Experience with data pipelines, workflow orchestration, or analytics platforms.
Exposure to regulated or sensitive-data environments (e.g., HIPAA, public health data).
Demonstrate high levels of ownership and independent execution
Comfort working in fast-moving, ambiguous problem spaces where requirements evolve
Flexibility and willingness to work on the highest priority needs of the business
The base salary range for this role is $134,300.00-$189,900.00. Actual pay within this range will depend on a candidate's skills, expertise, and experience. We also offer company stock awards, a comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, 401(k) program with employer contribution, 8 paid holidays in addition to a full-week winter shutdown and unlimited Paid Time Off policy.
It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees, employment applicants, and EOE disability/vet.
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