# Software Engineer, Infrastructure

**Company:** [Descript](https://hotfix.jobs/companies/descript)
**Location:** Remote
**Role:** DevOps / SRE
**Salary:** $220k – $292k/yr
**Experience:** 8+ years
**Skills:** GCP, Kubernetes, Temporal, Gpu Infrastructure, Machine Learning Infrastructure, CI/CD, Infrastructure As Code, Distributed Systems, SLOs, Error Budgets, IAM, Secrets Management, Observability, Monorepos, Cloud Cost Modeling
**Posted:** 2026-09-04

> Own and evolve a broad infrastructure platform spanning cloud, Kubernetes, deployment, reliability, security, and GPU-backed AI systems. The role requires 8+ years operating production distributed systems, strong incident and architecture experience, and practical cloud infrastructure expertise.

## Job Description

## Responsibilities
- Own the platform foundation, including Google Cloud, Kubernetes, Temporal, GPU infrastructure, deployment, and rollback systems.
- Participate in the on-call rotation and improve incident response, reliability, and actionability.
- Build and operate AI infrastructure for GPU capacity, model training and inference pipelines, and production serving.
- Manage infrastructure cost modeling, metering, attribution, and cost-performance trade-offs.
- Own security boundaries including identity and access management, secrets, least privilege, and software supply-chain integrity.
- Develop infrastructure-as-code, runbooks, observability, tests, standards, and release practices.
- Partner with engineering teams to understand needs, set the platform roadmap, and make architecture decisions.
- Provide architectural direction, code reviews, mentoring, and clear technical documentation.

## Requirements
- 8+ years building and operating production distributed systems or server-side systems with a strong infrastructure focus.
- Experience operating production systems where reliability and failure consequences matter.
- Experience carrying a pager, commanding incidents, and performing rollbacks.
- Practical use of SLOs and error budgets.
- Production experience with a major cloud provider, Kubernetes, and infrastructure-as-code.
- Experience owning an architecture or migration from planning through launch.
- Ability to independently identify, scope, gain support for, and deliver unowned work.
- Strong debugging skills, including creating minimal reproductions, analyzing logs, and writing targeted checks.
- Ability to use AI agents effectively and critically in engineering work.

## Nice-to-haves
- GPU and machine-learning infrastructure, including capacity planning, training or inference pipelines, and model-serving cost and latency optimization.
- Production security engineering, including IAM, secrets management, software supply-chain security, and least privilege.
- Cloud cost modeling, commitment strategies, reservations, and unit economics.
- CI/CD at monorepo scale and developer-environment tooling.
- Media, video, or GPU-backed workload experience.
- Experience on small teams responsible for broad infrastructure surfaces.

## Compensation and Benefits
- Base salary: $220,000–$292,000, plus equity and benefits.
- Healthcare package, 401(k) matching, catered lunches, and flexible vacation time.

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