Software Engineer, Infrastructure
Descript · San Francisco, CA or Remote, US
About this role
**Software Engineer, Infrastructure** **About the Role** Platform owns the foundation the company runs on: compute and deployment, reliability and on-call, CI/CD and monorepo health, developer environments, the infrastructure that model training and inference run on, and the security boundaries around all of it. You'll contribute to how models are trained and served, as well as how agents work inside the codebase: the environments they run in, the verification that makes their output trustworthy, and the review paths that keep it all legible. **What You'll Own** • Own the platform: GCP, Kubernetes, Temporal, the GPU fleet, and deploy/rollback machinery • AI enablement substrate: GPU capacity, training and inference pipelines, production reliability and cost • Cost as an engineering constraint: infrastructure decisions with smart trade-offs and metering • Security: identity and access, secrets management, least-privilege boundaries, supply-chain integrity • Legibility: infrastructure-as-code, runbooks, observability, and clear documentation • Team learning and shipping: hypothesis-driven work, incremental releases, and strengthened tooling • Technical ambition: architectural direction, thoughtful reviews, mentoring, and clear communication **Required Experience** • 8+ years building and operating production distributed systems or equivalent server-side engineering with infrastructure focus • Experience running systems where failure was expensive; reliability and deployment opinions from consequences • Carried a pager, commanded incidents, and rolled back before understanding why • Proficiency with SLOs, error budgets, major cloud providers, Kubernetes, and infrastructure-as-code • Owned architectures or migrations from planning through launch • Found unowned work, scoped it, earned buy-in, and delivered without a spec • Debug-driven approach: minimal repros, log reading, targeted checks **Helpful Experience** • GPU and ML infrastructure (capacity planning, training/inference pipelines, serving cost/latency) • Production security engineering (IAM, secrets, supply chain, least privilege) • Cloud cost modeling and CI/CD at monorepo scale • Video, media, or GPU-backed workloads • Small teams owning large surfaces **Compensation** Base salary: $220,000–$292,000, plus equity and benefits. Final offer considers experience, expertise, location, and level. **About Descript** Descript is building an intuitive, AI-powered editing tool for video and audio. Team of 150 backed by OpenAI, Andreessen Horowitz, Redpoint Ventures, and Spark Capital. Headquarters in San Francisco's Mission District with remote and hybrid opportunities. Benefits include healthcare, 401k matching, catered lunches, and flexible vacation. Equal opportunity employer committed to building a diverse team.
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