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Senior Developer Productivity Engineer

Together AI· Engineering
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San Francisco, CA$180k - $250k + equityfull-timePosted 11mo ago

About the role

Role focused on building and owning the systems and tooling that enable engineers to ship quickly and reliably, including CI/CD pipelines, release infrastructure, local dev environments, and testing systems. Not a QA role; emphasizes creating infrastructure to reduce manual effort and friction across the org.

Responsibilities

  • Build and own production systems engineers rely on: release services with deployment orchestration (canary, blue/green), reusable CI/CD pipelines, and self-service tooling.
  • Build testing infrastructure: frameworks and harnesses that make tests fast and reliable, and diagnose flaky tests and slow builds at the systems level.
  • Build and maintain local dev environments and containerized workflows so engineers can spin up and iterate fast.
  • Create starter templates and shared tooling (CLIs, codegen, IDE integrations) to accelerate service creation.
  • Be the go-to engineer for GitHub Actions and GitOps: define problems, untangle pipeline issues, and improve org workflows.
  • Improve front-end build tooling and developer workflows alongside product engineers.
  • Collaborate across the org to identify friction points and fix them at the root; document what you build for reuse.

Qualifications

  • 5+ years building software in production, with a track record of owning systems or services end-to-end (design through operation).
  • Strong software engineering fundamentals; production-quality code and real services experience beyond scripts or test automation.
  • Proficiency in Python, Go, and JavaScript/TypeScript for tooling and automation.
  • Deep experience with CI/CD systems (GitHub Actions, ArgoCD, GitOps) and scalable, reusable pipelines.
  • Experience with containerized development workflows and local dev tooling (e.g., Skaffold).
  • Experience building starter templates and scaffolding with engineering teams to accelerate new service creation.
  • Hands-on experience with AI coding tools (e.g., Claude Code, Cursor, Copilot) and a habit of using them to move faster.
  • Builder's mindset and strong ownership; ability to create tools and systems others depend on.
  • Rigor in diagnosing systemic issues: flaky tests, build latency, deployment failures.

Skills

Required:PythonGoJavaScript/TypeScriptCI/CD systemsContainerized development workflowsStarter templates and scaffoldingAI coding tools

Benefits

  • competitive compensation
  • startup equity
  • health insurance and other benefits
Last updated Sep 9, 2026. Interested? Apply on the company site.

About Together AI

The AI Acceleration Cloud - Fast Inference, Fine-Tuning & Training

Run and fine-tune generative AI models with simple APIs and scalable GPU clusters. Train & deploy at scale on The AI Acceleration Cloud.

AI native cloudFine-TuningGPU clustersInferenceTrainingai-infrastructure-and-developmentbrex-fastest-growing-2025liquid-ai-recruiting-target
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