Software Engineer, Full Stack (Registry and Inventory)

Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology.

Benchling’s mission is to unlock the power of biotechnology. The world’s most innovative biotech companies use Benchling’s R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market.

Come help us bring modern software to modern science.

ROLE OVERVIEW

Benchling's Registry and Inventory offerings provide our scientists with a conceptual and physical representation of the entities that are important to their work, offering a balance of flexibility to facilitate rapid creation of entities and validation when data is finalized, providing tooling for the creation of standardized entity names and identifiers, and supporting materials tracking across the containers and plates in use for their research. They are at the core of our enterprise offering, and they are critical to our key initiatives, including antibody discovery.

Our customers interact with these products daily, and they trust them with their most important assets. We are a full-stack team on a mission to accelerate science by creating powerful, intuitive tools that support a broad range of scientific workflows. We obsess over quality and data integrity.

RESPONSIBILITIES

• Drive complex, end-to-end projects: Lead the design, implementation, and delivery of high-impact features and systems across the stack (React + Python). Translate product requirements into scalable architecture and thoughtful user experiences, while proactively identifying risks and tradeoffs.

  • Shape technical direction and architecture: Make foundational engineering decisions that improve system performance, reliability, and scalability. Collaborate with other senior engineers to evolve our platform and influence long-term technical strategy.
    Collaborate cross-functionally: Work closely with product managers, designers, customer success, and other engineering teams to create clarity and ensure alignment on goals, seamless handoffs, and shared understanding of scientific user needs.

  • Identify and address technical debt: Own proactive improvements to the codebase and infrastructure. Refactor critical systems for maintainability and performance, and champion investments that improve long-term developer velocity.

  • Design for performance and scale: Build systems that can handle the complexity and scale of life sciences R&D. Optimize backend performance, frontend responsiveness, and system reliability.

  1. Mentor and support other engineers: Act as a technical mentor and sounding board for other engineers. Help grow the team’s technical skills through guidance, pairing, and knowledge sharing. Be a force multiplier for the team.

     • Elevate code quality and engineering practices: Set high standards for code quality, testing, documentation, and operational excellence. Lead by example, perform thorough code reviews, and help raise the bar across the team.

  2. Embrace ambiguity and domain complexity: Operate effectively in a fast-paced environment with evolving scientific requirements. Rapidly learn new technologies and help the team do the same.

QUALIFICATIONS

• 2+ years of professional software engineering experience

• Strong coding skills and engineering fundamentals – able to turn product requirements into well-architected, maintainable, and tested code

• Experience building scalable, reliable systems with attention to performance and user impact

• Proven ability to work across teams – partnering with product, design, and platform groups to ship cohesive solutions

• Strategic problem solving – tackles complex, ambiguous technical challenges with a focus on long-term impact, scalability, and user value

• Clear and effective communicator, especially in cross-functional se