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Staff Platform Infrastructure Engineer

Together AI · San Francisco

CHECKED 4H AGO

Infrastructureonsitestaff$240k–$280k
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At a glance

Highlights

  • Own service infrastructure strategy for mission-critical product platforms.
  • Drive infrastructure strategy supporting API, web UI, Billing and IAM.
  • Build reusable service primitives and standards to scale across regions.

What they offer

  • startup equity
  • health insurance

Ideal candidate

A pragmatic technical leader with 7+ years in platform roles who thrives on ambiguous, cross-team problems and turning repeated pain into reusable patterns to make services reliable and scalable.

Requirements

  • 7+ years of professional experience in platform engineering, service infrastructure, SRE, distributed systems, cloud infrastructure, or related roles
  • Deep production experience with Kubernetes, including EKS, Helm, ArgoCD/Argo Rollouts, ingress, autoscaling, secrets, service identity, networking, and progressive delivery
  • Strong Terraform experience, including module design, infrastructure CI/CD, policy enforcement, production applies, and safe self-service workflows
  • Experience operating networking and edge infrastructure such as CDNs, ALBs/NLBs, DNS, TLS, ingress/egress controls, and traffic management
  • Proficiency in one or more programming languages used for infrastructure tooling and automation, such as Go, Python, TypeScript, or similar
  • AWS experience, ideally including EKS, IAM, VPC networking, load balancing, Route 53, CloudFront, ECR, and related service infrastructure
  • Direct experience with observability systems, including metrics, logs, traces, dashboards, alerting, SLOs, and incident response
  • Proven ability to lead cross-functional technical initiatives across product engineering, infrastructure, networking, and security teams
  • Strong written communication skills, with experience producing clear design docs, migration plans, operational guidance, and technical standards
  • Staff-level judgment: you can define ambiguous problems, make pragmatic tradeoffs, influence without authority, and leave both systems and teams better than you found them

Lab profile

About Together AI

AI-native cloud for training and inference on large-scale GPU infrastructure for AI apps and agents.

What they build

  • AI-native cloud platform
  • GPU clusters for training and inference
  • Platform for AI applications and agents

Known for

  • Operating large-scale GPU fleets
  • Automated infrastructure at massive scale
  • Multi-site data center deployment

Key facts

  • Over 1M developers
  • Operates one of the world's largest GPU fleets
  • Infrastructure managing tens of thousands of GPUs
More about Together AI →
Apply on the lab’s site ↗