Senior Software Engineer, Data Pipelines
About Perimeter
Perimeter is the global biosecurity infrastructure company, purpose-built to protect operational continuity and way of life in an era of accelerating biological threats.
Our end-to-end biosecurity infrastructure platform spans detection, characterization, forecasting, and response — powered by frontier AI and deployed globally across airports, hospitals, wastewater systems, and critical infrastructure. Perimeter enables rapid response —delivering scalable, reliable, software-integrated infrastructure, and converting biointelligence into real-time decisive action for governments and enterprises worldwide.
Additional information about Perimeter's mission, capabilities, and platform is available at
About The Role
We are seeking a Staff Full-Stack Software Engineer to join our BUILD team. This role is ideal for someone who thrives in cross-disciplinary environments and is excited to build production software that directly supports biosecurity, epidemiology, and biological data workflows. We are looking for an engineer who is not only a technical expert but also a forward-thinker who embraces AI-augmented development and maintains a 'deploy-with-confidence' culture through rigorous CI/CD and automated testing
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
You Should Apply If You...
- Are passionate about working on a mission that matters & has real global impact
- Are a self-starter who thrives in dynamic, fast-moving environments and gets energized by ambiguity rather than slowed down by it
- Want to be part of building something from the ground up — we're a small, scrappy team, and we're looking for people who are comfortable operating without a full playbook but are equally excited about helping us build the processes and foundations that will carry us forward as we grow