Benchling
Software Engineer, Full Stack (Enterprise Lifecycle)
San Francisco, CA · Senior
Sponsorship not specifiedDetected 89 days ago
JavaScriptPythonReactFull-Stack DevelopmentCode ReviewPostgreSQLLLMsAgentic AIComplianceAuditingFDA RegulatoryMedical DevicesCommunicationGxP
About the role
- Our mission is to help them prove their products are safe for human consumption and navigate complex regulatory processes with confidence and efficiency.
- These are the foundational systems that ensure data integrity, compliance, and auditability across Benchling's platform.
- Looking forward, we are exploring how AI can transform the compliance experience for our customers.
Responsibilities
- Own end-to-end delivery of significant projects - from planning and development through deployment, maintenance, and monitoring - across multi-sprint, multi-person initiatives
- Design technical solutions for open-ended problems, working independently on smaller projects and collaborating with senior engineers on larger efforts
- Partner with product management, design, and cross-functional stakeholders to translate customer needs into technical solutions, clarifying requirements and surfacing tradeoffs
- Collaborate with other teams to ensure our horizontal platform systems integrate well and support product development across the organization
- You will collaborate extensively with other engineering teams across the organization, as these horizontal systems require deep integration and coordination.
Requirements
- 5+ years of experience as a software engineer, with demonstrated growth in scope and independence
- Experience delivering multi-sprint projects end-to-end, including planning, task breakdown, and tracking
- Comfort working in ambiguous problem spaces where methods and outcomes involve tradeoffs
- Clear written and verbal communication skills, with the ability to synthesize project status and share it with stakeholders
- Prior biotech knowledge not required, but enthusiasm to learn is essential
- Strong experience building backend systems and APIs for cloud-based web applications
- Familiarity with frontend development and willingness to build full-stack solutions when needed
- Ability to design technical solutions that account for edge cases, performance, scalability, and maintainability
- A collaborative mindset - willingness to mentor junior engineers and help teammates be more productive
- Interest in learning about life sciences. Prior biotech knowledge not required, but enthusiasm to learn is essential
- Experience building software for highly regulated industries (pharmaceuticals, medical devices, aerospace, financial services)
Nice to have
- Familiarity with compliance requirements such as FDA 21 CFR Part 11, GxP, or similar regulatory frameworks
- Exposure to audit logging systems, audit trails, or regulatory reporting capabilities
- Interest in AI/LLM applications, particularly in domains requiring high accuracy and reliability
- Experience with document management systems, version control, or content lifecycle management
- Familiarity with data export systems or large-scale data processing
- Experience with Python and PostgreSQL
- Experience with React or similar JavaScript-based frontend frameworks
- Previous work in enterprise B2B SaaS
Skills
- When a breakthrough is delayed, the world waits.
- Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps.
- AI has the potential to change this, compressing decades of R&D work into years.
- But that only happens when clean, structured scientific data and AI are built into how science gets done.
- Benchling is the AI platform for biotech R&D.
Company info
- Our work directly enables Benchling's expansion into the enterprise market and supports customers navigating some of the most rigorous regulatory requirements in the world.
- Explore opportunities to leverage AI and LLMs to improve compliance workflows, audit reporting, and regulatory navigation for our customers
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This listing is sourced directly from Benchling's careers page and normalized into a canonical job model.