2 months ago
Base Salary
$220k - $292k/yr
Responsibilities
- Own the platform infrastructure, including GCP, Kubernetes, Temporal, GPU capacity, deployment, rollback, and on-call systems.
- Build and operate infrastructure for model training, inference, and production model serving with attention to reliability, latency, and cost.
- Own metering, attribution, and cost trade-offs for infrastructure and inference usage.
- Manage identity and access, secrets management, least-privilege boundaries, and software supply-chain integrity.
- Create infrastructure-as-code, runbooks, observability, targeted checks, and in-repository technical context.
- Improve CI/CD, monorepo health, developer environments, testing, release practices, and team learning processes.
- Provide architectural direction, conduct thoughtful reviews, mentor engineers, and communicate clearly in writing.
Requirements
- 8+ years building and operating production distributed systems or equivalent server-side engineering with a heavy infrastructure focus.
- Production experience with a major cloud provider, Kubernetes, and infrastructure-as-code.
- Experience operating systems where failures were costly, carrying a pager, commanding incidents, and performing rollbacks.
- Practical use of SLOs and error budgets as operating tools.
- Experience owning an architecture or migration from planning through launch and evaluating its long-term consequences.
- Ability to identify unowned work, scope it, gain buy-in, and deliver without a predefined specification.
- Ability to create minimal reproductions, analyze logs, and write targeted checks to validate fixes.
- Experience effectively using AI agents and critically evaluating when to apply them.
- Preferred experience with GPU and ML infrastructure, training or inference pipelines, model serving, production security engineering, IAM, secrets, software supply chain, least privilege, cloud cost modeling, commitment strategies, reservations, unit economics, CI/CD at monorepo scale, developer environments, and media, video, or GPU-backed workloads.
- Experience working on small teams with broad ownership, such as at a Series B–D company or an internal platform team.
Benefits
- Base salary of $220,000 to $292,000 plus equity and benefits.
- Generous healthcare package.
- 401(k) matching program.
- Catered lunches.
- Flexible vacation time.
- Remote and hybrid opportunities are available; remote employees have periodic in-person collaboration opportunities, and hybrid employees are not required to be in the office every day.
- Headquarters are in San Francisco’s Mission District.
Tech Stack
Categories
About Descript
Descript builds an AI-powered video and audio editor used by creators, marketers, and teams to record, transcribe, edit by text, and publish content. It sells subscription plans from individual to enterprise, with tools for screen recording, podcast production, and collaborative review. Founded in 2017 and headquartered in San Francisco, the privately held company is backed by investors including the OpenAI Startup Fund and Andreessen Horowitz.