Staff Platform Infrastructure Engineer
Company websitetogether.ai (Together AI, opens in new tab)
Base salary $240K to $280K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
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.
Application Policy
Please read each role carefully and apply to the position best suited to you. Candidates are limited to 6 applications within a 90-day period, and applications beyond that limit will be automatically rejected. You may apply to additional roles 90 days after your last application.
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
Source: Together AI on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($240,000) is above 87% of the 4,289 Software Engineering roles in California listed on this site; 30 others list the same floor. Their median floor is $176,000; the middle half runs from $149,100 to $203,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingStaff Platform Infrastructure Engineer$240K to $280K
Director of Technical Accounting$245K to $300K
Staff Engineer, Distributed Storage and HPC & AI Infrastructure$250K to $330K
Senior Software Engineer — Infra Agent Systems$250K to $300K
(Staff / Senior Staff) AI Inference Reliability Engineer, Compute Infra$250K to $320K
Staff Software Engineer - AI Compute, Together Cloud$260K to $300K
Senior Software Engineer - AI Compute, Together Cloud$220K to $270K
Chart as a table
| Role | Published base |
|---|---|
| Staff Platform Infrastructure Engineer (this listing) | $240K - $280K |
| Director of Technical Accounting | $245K - $300K |
| Staff Engineer, Distributed Storage and HPC & AI Infrastructure | $250K - $330K |
| Senior Software Engineer — Infra Agent Systems | $250K - $300K |
| (Staff / Senior Staff) AI Inference Reliability Engineer, Compute Infra | $250K - $320K |
| Staff Software Engineer - AI Compute, Together Cloud | $260K - $300K |
| Senior Software Engineer - AI Compute, Together Cloud | $220K - $270K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-07-10
Where this pay comes from
Location as the employer wrote it: San Francisco
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 lo
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
