Назад
2 месяца назад

Software Engineer, Infrastructure (AI)

220 000 - 292 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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