Staff Platform Infrastructure Engineer

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.

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.

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