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
