Platform Engineer: GCP, Kubernetes & GPU Infra (Remote)

The Briefed; United States; Remote; USD 220,000 - 292,000; Full time

Benefits offered by this job

Healthcare

401(k) matching

Flexible vacation

Job summary

The Briefed is seeking a Platform Engineer to own and scale our production systems. You will run the platform on GCP, Kubernetes, Temporal, and manage the GPU fleet, deployment tooling, and on-call responsibilities.

You will design and maintain infrastructure as code and observability to keep systems reliable. You should have 8+ years building distributed systems, hands-on experience with cloud environments and Kubernetes, and a track record of incident response and SLO-driven reliability.

Qualifications

• 8+ years building and running production distributed systems.
• A major cloud and Kubernetes in production, with infrastructure as code by default.
• Incident command experience, and SLOs and error budgets used in practice.
• Owned an architecture or migration from plan to launch.
• Uses AI agents to multiply impact.

Responsibilities

• Run the platform: GCP, Kubernetes, Temporal, the GPU fleet and the deploy and rollback tooling
• Own GPU capacity, training and inference pipelines, and their reliability and cost
• Treat cost as an engineering limit and make clear trade-offs
• Own security for the systems you run: access, secrets, least privilege and supply chain
• Write self-explaining infrastructure as code, runbooks and observability, and join the on-call rotation

Skills

Distributed systems design

Cloud platforms

Kubernetes

Infrastructure as code

Incident response

SRE practices

Tools

Kubernetes

GCP

Temporal

Terraform / IaC

GPU infrastructure

Job description

The Briefed is seeking a Platform Engineer to own and scale our production systems. You will run the platform on GCP, Kubernetes, Temporal, and manage the GPU fleet, deployment tooling, and on-call responsibilities.

You will design and maintain infrastructure as code and observability to keep systems reliable. You should have 8+ years building distributed systems, hands-on experience with cloud environments and Kubernetes, and a track record of incident response and SLO-driven reliability.