Staff Platform Engineer, Service Infrastructure

San Francisco, CA

About the role

About the Role Together AI is hiring a Staff Platform Infrastructure Engineer to drive the service and platform infrastructure strategy across our engineering organization. This is a hands-on technical leadership role with the opportunity to establish a new team and shape its direction, defining the golden path for how services are built and operated at Together. This role will support mission-critical Product and Platform teams by providing a stable, scalable service infrastructure foundation for building and operating customer-facing and internal services. The focus is on making that foundation reliable, repeatable, and easy for teams to adopt. You'll own and evolve crucial shared infrastructure, roll out new infrastructure patterns and platform capabilities to service teams, and coordinate with other infrastructure teams to ensure services are built on company-wide foundations. In your first year, you might:

Ship a new golden-path service template (scaffolding, Helm chart, CI/CD, and GitOps) and move the first set of services onto it. Implement zero-trust policies on our production clusters. Collaborate with DevProd and SREs on the migration to Kargo. Hire and grow the initial Platform Infrastructure team.

Responsibilities

Set the technical direction for service infrastructure across Kubernetes, AWS, CDN and edge networking, and related operational patterns. Design and build reusable infrastructure primitives, such as Helm charts and Terraform modules. Build self-service platform capabilities, operational runbooks, and AI-assisted tooling that accelerate service development and operations. Partner closely with service teams to modernize existing services and adopt stronger infrastructure patterns. Work with Infrastructure, Networking, and Security teams to translate company-wide platform standards into practical service-level implementations. Lead cross-company infrastructure initiatives such as Terraform CI/CD, Kubernetes networking, zero-trust service communication, policy-as-code, and cross-DC and cross-provider networking.

Requirements

7+ years of professional experience in platform engineering, service infrastructure, SRE, cloud infrastructure, or a related field. Deep production experience with Kubernetes and AWS, including operating shared infrastructure for deployment, networking, identity, scaling, or service reliability. Examples include EKS, IAM, VPC, Route 53, CloudFront, and ECR. Strong experience with Terraform and infrastructure delivery automation. Working knowledge of service and edge networking, including DNS, TLS, CDNs, load balancing, and ingress and egress. Proficiency in Go, Python, TypeScript, or another systems or infrastructure-oriented programming language. Experience building reusable infrastructure used by multiple engineering teams and helping those teams adopt it in production. Proven ability to lead ambiguous, cross-functional infrastructure initiatives, with strong written technical communication and a track record of driving adoption across teams you don't manage.

Preferred Qualifications

Experience with GitHub Actions, GitOps workflows, and service scaffolding. Experience with Argo CD, Argo Rollouts, or Kargo. Experience designing or operating CDNs, WAFs, edge infrastructure, or Layer 4 networking Experience with service meshes, zero-trust networking, policy-as-code, multi-region or hybrid infrastructure, or supply-chain security. Experience operating distributed streaming systems (Kafka, Flink, Spark Streaming) as shared platform services for data teams. Experience building or applying AI-assisted tooling to improve service development or operations.

About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $240,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy   

About Together AI

Together AI provides a cloud platform for developing, training, fine-tuning, and deploying generative artificial intelligence models using open-source technologies. Its services include serverless and dedicated model inference, GPU compute infrastructure, managed storage, code sandboxes, and model customization tools that support AI application development and production workloads. The platform also offers APIs and deployment options that enable developers and organizations to build, run, and manage language, image, audio, vision, and code models without maintaining underlying infrastructure.

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Job details

Salary

$240,000 - $280,000

Location

San Francisco, CA

Company

NameTogether AI
IndustryAI Infrastructure
Team Size3

Funding

Total raised

$533.5M

Last stage

Series B

Investors

General Catalyst
PProsperity7
Salesforce Ventures
NVIDIA
Kleiner Perkins

Founders

Vipul Ved Prakash

Vipul Ved Prakash

Co-Founder & CEO

LinkedIn
CZ

Ce Zhang

Founder & CTO

LinkedIn
CR

Chris Ré

Founder

TD

Tri Dao

Co-Founder & Chief Scientist

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.