Benchling is a cloud-based platform for biotechnology research and development and the only biology-first platform for scientific data, collaboration, and insights. Backed by Y Combinator, a16z and ICONIQ.
About the role
As a software engineer on Benchling's Infrastructure team, you will design, build, and operate the platforms, services, and tooling that let every Benchling engineering team ship and run software reliably, securely, and cost-effectively. Our work spans the foundations of our AWS environment: compute (Kubernetes/EKS), networking, secrets and identity, observability, infrastructure-as-code, and the economics of running all of it at scale. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 8+ years of experience in software engineering, site reliability, platform, or infrastructure engineering
- Have strong software engineering fundamentals (coding, testing, debugging, API and system design) and proficiency in at least one general-purpose language such as Python, Go, or TypeScript
- Have hands-on experience with AWS (for example EC2, EKS, RDS, VPC, IAM, S3) and understand how compute, storage, networking, and security fit together
- Have production experience with infrastructure-as-code, ideally Terraform at meaningful scale
- Have working knowledge of Kubernetes and container-based platforms
- Have a track record of independently scoping and delivering complex, ambiguous, multi-month projects from proposal to production, including writing technical design documents and communicating tradeoffs to technical and non-technical stakeholders
More about this role
We are rebuilding biotech for the AI era.
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. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma.
We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your...
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