Drimva

Gemini

Staff Platform Engineer

$168K–$240K

New York, New York +3 · Remote · Staff · Full-time · Posted Sep 21, 2026

Location
New York, New York
Miami, Florida
Remote (USA)
Gemini North America
Experience
8+ years; an equivalent combination of software engineering, infrastructure engineering, or SRE experience is accepted.

About the job

Provides technical leadership and builds Gemini’s internal platform software and infrastructure to improve developer self-service, production reliability, and engineering efficiency.

What you'll do

  • Set technical direction and lead architecture for platform capabilities across cloud, networking, infrastructure, delivery, and reliability.
  • Build and operate platform services, developer tools, APIs, workflows, and automation that enable safe self-service.
  • Improve production reliability, observability, incident response, and operational efficiency across engineering teams.

What they ask for

  • 8+ years of professional software engineering, infrastructure engineering, SRE, or an equivalent combination of experience, including substantial ownership of production systems.
  • Strong software engineering ability in at least one language such as Go, Python, TypeScript, Rust, or similar.
  • Demonstrated experience operating production infrastructure and distributed systems, including high availability and recovery.
  • Experience designing, operating, or improving production systems across cloud infrastructure, networking, compute, storage, deployment platforms, or related domains.

Nice to have

  • Hands-on experience with cloud platforms such as AWS, GCP, or Azure and infrastructure as code, such as Terraform or an equivalent system.
  • Familiarity with OpenTelemetry or comparable observability tooling.

Pay

$168,000 - $240,000 USD base salary

Tools

Go, TypeScript, Python, Rust, Bazel, Buck2, AWS, GCP

AI focus

Operate infrastructure supporting distributed and AI-enabled systems where appropriate; learn the infrastructure and reliability characteristics of AI/ML workloads.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 4, 2026 (UTC)