Топовая компенсация и работа над инфраструктурой для AI делают эту вакансию элитной возможностью для senior-инженера, который любит высокий уровень ответственности в быстрорастущем стартапе.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, Infrastructure (AI): Building and operating the platform foundation for compute, deployment, reliability, CI/CD, developer environments, and AI model training and inference with an accent on Kubernetes, GPU infrastructure, security, and cost-aware systems design. Focus on designing reliable distributed systems, improving observability and deployment practices, and solving complex capacity, security, and operational challenges for production AI workloads.
Location: San Francisco, CA or Remote, US
Base salary: $220,000–$292,000 annually, plus equity and benefits.
Company
Descript is a startup building an AI-powered video and audio editing tool for a team of approximately 150 people.
What you will do
Own the platform foundation across GCP, Kubernetes, Temporal, GPU infrastructure, deployment, rollback, and on-call operations.
Build and operate AI enablement infrastructure for GPU capacity, model training and inference pipelines, and reliable production serving.
Make infrastructure and cloud-cost trade-offs, including metering and attribution for growing inference usage.
Design and maintain identity, access, secrets management, least-privilege boundaries, and software supply-chain security.
Improve infrastructure-as-code, runbooks, observability, testing, release practices, and developer tooling.
Provide architectural direction, conduct thoughtful reviews, mentor engineers, and help shape the platform roadmap.
Requirements
8+ years building and operating production distributed systems or equivalent server-side engineering with a strong infrastructure focus.
Production experience with a major cloud provider, Kubernetes, and infrastructure-as-code.
Experience operating systems where failures were costly, including incident command, pager duty, rollback procedures, SLOs, and error budgets.
Experience owning an architecture or migration from planning through launch and independently delivering unowned work.
Ability to use AI agents effectively, investigate failures through logs and minimal reproductions, and create targeted checks to validate fixes.
Nice to have
GPU and ML infrastructure experience, including capacity planning, training or inference pipelines, serving cost, and latency.
Production security engineering experience with IAM, secrets, supply-chain security, and least privilege.
Cloud cost modeling, commitment strategies, reservations, unit economics, CI/CD at monorepo scale, or developer-environment work.
Media, video, or GPU-backed workload experience.
Experience on small teams with broad platform ownership, including Series B–D companies or internal platform teams.
Culture & Benefits
Remote and hybrid roles are available; remote employees may have opportunities for in-person collaboration during the year.
Healthcare coverage, 401(k) matching, catered lunches, flexible vacation time, equity, and other benefits.
Applications including a share link to a Descript video receive human review.
The San Francisco headquarters is located in the Mission District.
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