--- title: 'Staff Platform Engineer, Service Infrastructure at Together AI' canonical: 'https://feeny.ai/job/staff-platform-engineer-service-infrastructure-together-ai-san-francisco-5t4fzzbp37ey' type: 'job' last_seen: '2026-09-11' --- # Staff Platform Engineer, Service Infrastructure at Together AI - **Company:** Together AI - **Location:** San Francisco, CA - **Posted:** 2026-07-10 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/togetherai/jobs/5180690007 ## Job description ## About the Role Together AI is hiring a Staff Platform Engineer to join the Product Foundations engineering organization and drive its service infrastructure strategy. 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. 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. ## Responsibilities - Own the technical direction for service infrastructure within Product Foundations, including Kubernetes, AWS, Terraform, CDNs, ALBs, DNS, IAM, service networking, and related operational patterns. - Up-level existing Product Foundations services by improving reliability, operability, deployment safety, infrastructure consistency, and production readiness. - Partner deeply with API Platform and UI Platform on networking, DNS, CDN, load balancing, delivery, and gateway patterns for critical customer-facing interfaces. - 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. - 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. - Build and evolve reusable service infrastructure primitives, including Helm charts, Terraform modules, GitHub Actions/GitOps workflows, service scaffolding, runbooks, and documentation. - 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. ## Requirements - 7+ years of professional experience in platform engineering, service infrastructure, SRE, distributed systems, cloud infrastructure, or related roles. - Deep production experience with Kubernetes, including EKS, Helm, ArgoCD/Argo Rollouts, ingress, autoscaling, secrets, service identity, networking, and progressive delivery. - Strong Terraform experience, including module design, infrastructure CI/CD, policy enforcement, production applies, and safe self-service workflows. - Experience operating networking and edge infrastructure such as CDNs, ALBs/NLBs, DNS, TLS, ingress/egress controls, and traffic management. - Proficiency in one or more programming languages used for infrastructure tooling and automation, such as Go, Python, TypeScript, or similar. - AWS experience, ideally including EKS, IAM, VPC networking, load balancing, Route 53, CloudFront, ECR, and related service infrastructure. - Direct experience with observability systems, including metrics, logs, traces, dashboards, alerting, SLOs, and incident response. - Proven ability to lead cross-functional technical initiatives across product engineering, infrastructure, networking, and security teams. - Strong written communication skills, with experience producing clear design docs, migration plans, operational guidance, and technical standards. - 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. ## Nice to Have - Experience building internal developer platforms or paved-path service frameworks used by many engineering teams. - Experience embedding infrastructure best practices into product engineering teams at scale. - Experience with service mesh or zero-trust infrastructure such as mTLS, SPIFFE/SPIRE, Cilium, Istio, Linkerd, Envoy, or similar. - Experience with OPA, Gatekeeper, Kyverno, Sentinel, or other policy-as-code systems. - Experience with multi-region, multi-cluster, hybrid-cloud, or cross-provider service networking. - Experience with supply-chain security, image signing, SBOMs, vulnerability management, or compliance automation. ## 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 ## Company Overview - **One-liner**: Together AI is the AI Native Cloud, a full-stack platform for production AI that provides inference, fine-tuning, and GPU compute powered by cutting-edge systems research. - **Entity Type**: Private (Series C) - **Headquarters**: San Francisco, California, United States - **Founded**: 2022 - **Founders**: Vipul Ved Prakash (CEO), Ce Zhang (CTO), Tri Dao (Chief Scientist), Chris Ré, Percy Liang ## Core Business - **Primary industry**: AI Infrastructure / Cloud Computing - **Target customers**: B2B – AI-native startups (e.g., Cursor, Decagon, Eleven Labs), enterprise SaaS (Salesforce, Zoom, Zomato), and AI researchers. - **Mission**: “Significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models” — with a commitment to open and transparent AI development. ## Products & Services - **Serverless Inference**: Fast on-demand inference for open-source models with no infrastructure management. - **Batch Inference**: Asynchronous processing of massive workloads (up to 30B tokens per model) at reduced cost. - **Dedicated Model Inference**: Deploy models on dedicated GPU infrastructure for speed and control. - **Dedicated Container Inference**: GPU infrastructure optimized for generative media (video, audio, image). - **Fine-Tuning**: Fine-tune open-source models using latest research techniques (improves accuracy, reduces hallucinations). - **Accelerated Compute**: Self-serve instant clusters to thousands of GPUs, optimized with Together Kernel Collection. - **Model Shaping**: Tools to accelerate inference, model shaping, and pre-training. - **Managed Storage**: High-performance object storage and parallel filesystems with zero egress fees. - **Sandbox**: Fast, secure code sandboxes for AI app/agent development environments. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed; recent Series C reportedly doubled valuation (amount undisclosed) [cbinsights.com](https://www.cbinsights.com/company/together-4) - **Key Metric**: **Total Funding** – $1.334B (including $800M Series C announced in mid-2026) [cbinsights.com](https://www.cbinsights.com/company/together-4) - **Notable Investors/Partners**: Kleiner Perkins, NVIDIA, Salesforce Ventures, Prosperity7 Ventures (Aramco), and 29+ others across rounds. - **Growth Signals**: - Headcount grew 91% YoY to ~280 employees [linkedin.com](https://www.linkedin.com/company/togethercomputer) - Acquired CodeSandbox (Dec 2024) and Refuel.AI (May 2025) - Customers include Cursor, Decagon, Eleven Labs, AI21, Hedra, Cartesia, Salesforce, Zoom, Zomato - Published nine papers at ICML 2026; open-sourced ParallelKernelBench ## Competitive Advantages - **Full-stack AI platform** covering inference, fine-tuning, compute, storage, and sandboxes — all integrated. - **World-class research team** co-designing algorithms, kernels, and hardware (e.g., Tri Dao, co-inventor of FlashAttention). - **Open-source commitment** and contributions (models, datasets, research) build developer trust and ecosystem lock-in. - **Cost performance**: Claims 2x faster inference and 60% lower cost vs. alternatives through research-driven optimizations. ## Strategic Focus - Accelerate the shift to open-source AI by making it economically viable at scale. - Continue investing in systems research (GPU programming, kernel optimization, model shaping) to improve performance and cost. - Expand enterprise adoption through dedicated deployments and partnerships. - Grow the platform’s capabilities (e.g., managed storage, sandboxes) to reduce friction for AI-native builders. ## Why Work Here - **Culture**: Values include “Do more with less,” “Open and responsible development,” “Empower innovation,” and “Optimizers” — a research-driven, mission-oriented environment. - **Remote/Hybrid/Office**: Primarily office-based in San Francisco (251 Rhode Island Street) with employees across 16 countries. Office perks include lunch, dinner, snacks, parking/transit stipends, and relocation support. - **Benefits**: Competitive salary and equity, 401K matching, health/dental/vision insurance, flexible PTO, generous parental leave, life and disability protection. - **Engineering Culture**: Deep focus on systems research and open-source; engineers work alongside leading AI researchers (e.g., Tri Dao, Ce Zhang). Talent sourced from Apple, Google, Amazon, NVIDIA, Stanford AI Lab. - **Career Growth**: 53 active job postings (as of mid-2026); roles span ML engineering, platform engineering, research, and go-to-market. High growth trajectory offers rapid advancement. ## Sources 1. [together.ai/about-us](https://www.together.ai/about-us) 2. [together.ai/](https://www.together.ai/) 3. [together.ai/careers](https://www.together.ai/careers) 4. [linkedin.com/company/togethercomputer](https://www.linkedin.com/company/togethercomputer) 5. [cbinsights.com/company/together-4](https://www.cbinsights.com/company/together-4) ## Other roles at Together AI - [Staff Engineer, Distributed Storage and HPC & AI Infrastructure](https://feeny.ai/job/staff-engineer-distributed-storage-and-hpc-ai-infrastructure-together-ai-qmwmf2cw8b8j) — Bengaluru, India - [Senior ABM & Campaign Manager](https://feeny.ai/job/senior-abm-campaign-manager-together-ai-san-francisco-b4m47ckm79bn) — San Francisco, CA - [Technical Support Engineer - India](https://feeny.ai/job/technical-support-engineer-india-together-ai-pune-or-bangalore-mwn804cwswws) — Pune OR Bangalore, India - [Senior Software Engineer — Infra Agent Systems](https://feeny.ai/job/senior-software-engineer-infra-agent-systems-together-ai-san-francisco-xc82f200r1ws) — San Francisco, CA - [Senior ABM & Campaign Manager](https://feeny.ai/job/senior-abm-campaign-manager-together-ai-san-francisco-zc1zxaar2h1f) — San Francisco, CA - [Senior Software Engineer — Infra Agent Systems](https://feeny.ai/job/senior-software-engineer-infra-agent-systems-together-ai-amsterdam-0kn67tn8tkvp) — Amsterdam, Netherlands - [Senior Software Engineer — Infra Agent Systems UK](https://feeny.ai/job/senior-software-engineer-infra-agent-systems-uk-together-ai-london-bxf797ge7pxk) — London, United Kingdom - [Senior Software Engineer — Infra Agent Systems Remote India](https://feeny.ai/job/senior-software-engineer-infra-agent-systems-remote-india-together-ai-india-4y1jwwt42nqs) — India - [HR Coordinator- Amsterdam](https://feeny.ai/job/hr-coordinator-amsterdam-together-ai-amsterdam-e41wg9k2gakq) — Amsterdam, Netherlands - [Staff Software Engineer, Inference / Compute Infrastructure Engineering](https://feeny.ai/job/staff-software-engineer-inference-compute-infrastructure-engineering-together-5j8djmf3gdbk) — London, United Kingdom