Full Stack Software Engineer

Role Overview

Join Benchling as a Full Stack Software Engineer on the Enterprise Lifecycle team. This newly formed team focuses on helping Benchling’s largest customers succeed in regulated environments by delivering backend and full-stack features across compliance and lifecycle workflows, with opportunities to apply AI/LLMs to improve compliance operations.

Key Missions

• Design, develop, and deliver features and systems aligned with Benchling’s product and business goals across:
  • Audit coverage
  • Export systems
  • Document lifecycle management
  • Regulatory compliance workflows
• Own end-to-end delivery of significant projects (planning → development → deployment → maintenance → monitoring) across multi-sprint, multi-person initiatives.
• Explore AI/LLM opportunities to improve:
  • Compliance workflows
  • Audit reporting
  • Regulatory navigation (high-accuracy use cases)

Responsibilities

• Lead technical solutions with attention to edge cases, performance, scalability, and maintainability.
• Deliver and operate systems across the full lifecycle, including deployment, maintenance, and monitoring.
• Collaborate effectively, including mentoring junior engineers and improving team productivity.
• Communicate clearly with stakeholders by synthesizing project status.

Requirements

• 3+ years of experience as a software engineer with demonstrated growth in scope and independence.
• Strong experience building backend systems and APIs for cloud-based web applications.
• Ability to work in ambiguous problem spaces involving tradeoffs.
• Comfort with frontend development and willingness to build full-stack solutions when needed.
• Experience delivering multi-sprint projects end-to-end (planning, task breakdown, tracking).
• Experience building software for highly regulated industries.
• Familiarity with compliance frameworks such as FDA 21 CFR Part 11 and GxP (or similar).
• Exposure to audit logging, audit trails, or regulatory reporting capabilities.
• Interest in AI/LLM applications requiring high accuracy and reliability.
• Familiarity with data export systems or large-scale data processing.
• Python and PostgreSQL.
• Experience with document/content lifecycle management and related systems (e.g., version control).
• Experience with React (or similar JavaScript frontend frameworks).

Nice to Have

• Education or experience in life sciences / biotechnology / pharmaceutical sectors.
• Previous work in enterprise B2B SaaS.