Software Engineer, Cloud Infrastructure

We are rebuilding biotech for the AI era.

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.

Responsibilities

• Own projects end-to-end, from initial design and tech plan, to prototype, to production rollout and operational handoff.
• Design, build, and maintain internal applications, APIs, automation, and tooling (CLIs, Slack apps, serverless services, and AI-powered assistants) that support Benchling's cloud platform and infrastructure workflows.
• Own parts of our AWS foundation, including Kubernetes (EKS), networking, secrets and PKI, and the security and observability capabilities around them, with clear SLOs, runbooks, and actionable telemetry.
• Advance our infrastructure-as-code practices at scale: operate and improve our Terraform Cloud release system, reusable Terraform modules, and the tooling around them, with policy-as-code guardrails that let service teams self-serve safely.
• Drive cloud cost governance as an engineering discipline: build cost visibility and anomaly alerting, allocate shared platform costs to the services that drive them, analyze usage trends.
• Contribute to observability tooling, vendor relationships, and the cost and performance tradeoffs of our monitoring stack.
• Make architectural decisions that other teams build on, drive alignment across multiple teams, and help set technical direction and standards for the areas you own.
• Operate and improve production systems, including on-call, incident response, blameless postmortems, and root-cause analysis, and use what you learn to reduce toil.
• Partner with engineers across Benchling to understand internal customer needs, mentor teammates through design reviews and tech plan feedback, and help mature our tooling, best practices, and engineering processes.

Qualifications

• 8+ years of experience in software engineering, site reliability, platform, or infrastructure engineering
• 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
• Hands-on experience with AWS (for example EC2, EKS, RDS, VPC, IAM, S3) and understand how compute, storage, networking, and security fit together
• Production experience with infrastructure-as-code, ideally Terraform at meaningful scale
• Working knowledge of Kubernetes and container-based platforms
• 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
• Made architectural decisions that other engineers and teams build on, and driven alignment across multiple teams
• Comfortable working across development and operations, including diagnosing hard production problems under pressure and participating in an on-call rotation
• Clear communication in writing, documentation of work, and enjoyment of collaborating with internal platform users

Nice to have

• Experience with cloud cost management (cost allocation, tagging strategies, commitment purchasing, unit economics)
• Experience with secrets and PKI infrastructure such as HashiCorp Vault
• Experience with AWS networking at scale (VPC design, Transit Gateway, multi-region connectivity)
• Experience building internal developer tooling such as CLIs, bots, or serverless services, including LLM-powered tools (for example retrieval-augmented generation on Amazon Bedrock)
• Experience with observability platforms and managing vendor relationships for engineering tooling
• Experience operating infrastructure in regulated (for example GxP) or multi-region environments
• Experience with GitOps and policy-as-code approaches to infrastructure change management
• Experience as a technical lead or mentor
• Experience using AI-assisted development tools to accelerate engineering and operational work