Together AI is an AI neocloud that provides AI-focused cloud infrastructure and tools to support adoption of open-source models.
<p><span style="font-size: 12pt;"><strong>About the Role</strong></span></p> <p>Together AI is hiring a Staff Platform Engineer to join the Product Foundations engineering organization and drive its service infrastructure strategy.</p> <p>Product Foundations builds and operates Together’s mission-critical product platforms that support all cloud products, including API Platform (non-Inference), web UI Platform, Billing, and customer-facing IAM. These services sit on the critical path for customers and internal systems.</p> <p>This is a hands-on Staff role focused on evolving Product Foundations’ core infrastructure strategy from the inside: understanding service team needs, turning repeated infrastructure problems into reusable patterns, and coordinating across platform owners so Product Foundations services are reliable, repeatable, and built on the right company-wide foundations.</p> <h2><span style="font-size: 12pt;"><strong>Responsibilities</strong></span></h2> <ul> <li>Own the technical direction for service infrastructure within Product Foundations, including Kubernetes, AWS, Terraform, CDNs, ALBs, DNS, IAM, service networking, and related operational patterns.</li> <li>Up-level existing Product Foundations services by improving reliability, operability, deployment safety, infrastructure consistency, and production readiness.</li> <li>Partner deeply with API Platform and UI Platform on networking, DNS, CDN, load balancing, delivery, and gateway patterns for critical customer-facing interfaces.</li> <li>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.</li> <li>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.</li> <li>Build and evolve reusable service infrastructure primitives, including Helm charts, Terraform modules, GitHub Actions/GitOps workflows, service scaffolding, runbooks, and documentation.</li> <li>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.</li> </ul> <h2><span style="font-size: 12pt;"><strong>Requirements</strong></span></h2> <ul> <li>7+ years of professional experience in platform engineering, service infrastructure, SRE, distributed systems, cloud infrastructure, or related roles.</li> <li>Deep production experience with Kubernetes, including EKS, Helm, ArgoCD/Argo Rollouts, ingress, autoscaling, secrets, service identity, networking, and progressive delivery.</li> <li>Strong Terraform experience, including module design, infrastructure CI/CD, policy enforcement, production applies, and safe self-service workflows.</li> <li>Experience operating networking and edge infrastructure such as CDNs, ALBs/NLBs, DNS, TLS, ingress/egress controls, and traffic management.</li> <li>Proficiency in one or more programming languages used for infrastructure tooling and automation, such as Go, Python, TypeScript, or similar.</li> <li>AWS experience, ideally including EKS, IAM, VPC networking, load balancing, Route 53, CloudFront, ECR, and related service infrastructure.</li> <li>Direct experience with observability systems, including metrics, logs, traces, dashboards, alerting, SLOs, and incident response.</li> <li>Proven ability to lead cross-functional technical initiatives across product engineering, infrastructure, networking, and security teams.</li> <li>Strong written communication skills, with experience producing clear design docs, migration plans, operational guidance, and technical standards.</li> <li>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.</li> </ul> <h2><span style="font-size: 12pt;"><strong>Nice to Have</strong></span></h2> <ul> <li>Experience building internal developer platforms or paved-path service frameworks used by many engineering teams.</li> <li>Experience embedding infrastructure best practices into product engineering teams at scale.</li> <li>Experience with service mesh or zero-trust infrastructure such as mTLS, SPIFFE/SPIRE, Cilium, Istio, Linkerd, Envoy, or similar.</li> <li>Experience with OPA, Gatekeeper, Kyverno, Sentinel, or other policy-as-code systems.</li> <li>Experience with multi-region, multi-cluster, hybrid-cloud, or cross-provider service networking.</li> <li>Experience with supply-chain security, image signing, SBOMs, vulnerability management, or compliance automation.</li> </ul> <h3><strong>About Together AI</strong></h3> <p>Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.</p> <h3><strong>Compensation</strong></h3> <p>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.</p> <h3><strong>Equal Opportunity</strong></h3> <p>Together AI is an Equal Op