Senior Software Engineer, Full Stack

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 https://www.perimeter.bio/

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