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Software Engineer, Cloud Infrastructure
benchling · San Francisco, CA · Posted 13 days ago
Own multi-quarter pieces of Benchling's AWS and Kubernetes platform end to end, building the paved roads that engineers across the company use to ship securely and cost-effectively.
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.
We hire software engineers for this team because strong programming, systems design, and problem-solving skills are the most durable foundation for infrastructure impact. You will independently scope and own meaningful, multi-quarter pieces of our platform end to end, from an ambiguous starting point to a production rollout and operational handoff, building paved roads that make the secure, reliable, and efficient path the default for engineers across Benchling.
- 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.
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This posting is sourced from benchling's own career site — applying takes you there directly.
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