Staff Platform Engineer: Scale Core Service Infrastructure

AI Chopping Block

San Francisco (CA)

On-site

USD 240,000 - 280,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Startup equity
Comprehensive benefits

Job summary

Together AI is seeking a Staff Platform Engineer to join the Product Foundations engineering organization and drive its service infrastructure strategy.

This hands-on role focuses on evolving Product Foundations’ core infrastructure, patterns, and reliability across Kubernetes, AWS, and Terraform while coordinating with API Platform and UI Platform for scalable, customer-facing interfaces.

Qualifications

  • 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.

Responsibilities

  • Own the technical direction for service infrastructure within Product Foundations, including Kubernetes, AWS, Terraform, CDNs, ALBs, DNS, IAM, service networking, and related operational patterns.
  • Up-level existing Product Foundations services by improving reliability, operability, deployment safety, infrastructure consistency, and production readiness.
  • Partner deeply with API Platform and UI Platform on networking, DNS, CDN, load balancing, delivery, and gateway patterns for critical customer-facing interfaces.
  • Work closely with Infrastructure, Networking, and Security teams to bring company-wide platform standards into Product Foundations and contribute PF requirements back into shared frameworks.
  • Help drive cross-company infrastructure initiatives that Product Foundations depend on or help maintain, including Terraform CI/CD, Kubernetes networking, zero-trust service communication, policy-as-code, and cross-DC/provider networking.
  • Build and evolve reusable service infrastructure primitives, including Helm charts, Terraform modules, GitHub Actions/GitOps workflows, service scaffolding, runbooks, and documentation.
  • Establish durable technical standards through design docs, architecture reviews, mentorship, and hands-on implementation that help Together scale services across teams, regions, and cloud environments.

Skills

Kubernetes
Terraform
AWS
Go/Python/TypeScript
Networking
Observability
Cross-functional leadership
Communication
Platform engineering
SRE

Tools

Helm
ArgoCD
GitHub Actions
Istio
CDN/Edge infra

Job description

Together AI is seeking a Staff Platform Engineer to join the Product Foundations engineering organization and drive its service infrastructure strategy.

This hands-on role focuses on evolving Product Foundations’ core infrastructure, patterns, and reliability across Kubernetes, AWS, and Terraform while coordinating with API Platform and UI Platform for scalable, customer-facing interfaces.

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