Staff Platform Infrastructure Engineer
Together AI · San Francisco
CHECKED 4H AGO
Infrastructureonsitestaff$240k–$280k
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