About the RoleAt Together AI, you'll own the systems and tooling that let our engineers ship quickly and reliably: CI/CD pipelines, release infrastructure, local dev environments, and the testing systems the whole engineering team depends on.
This is a high-leverage, build-heavy role. You'll take on big projects and drive them end to end: building a full-stack release service with deployment orchestration, rebuilding the front-end build pipeline, standing up testing infrastructure that kills flaky builds. The goal is straightforward: engineers should spend their time building products, not fighting their tooling.
This is an engineering role focused on building systems, not a QA or manual testing role. You build the infrastructure that makes manual effort unnecessary.
Responsibilities- Build and own the production systems engineers rely on: release services with deployment orchestration (canary, blue/green), reusable CI/CD pipelines, and self-service tooling.
- Build testing infrastructure: the frameworks and harnesses that make tests fast and reliable, and track down 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) so teams can stand up new services in minutes.
- Be the go-to engineer for GitHub Actions and GitOps: defining problems, untangling pipeline issues, and improving how the org works with them.
- Improve front-end build tooling and developer workflows alongside product engineers.
- Work across the org to find the biggest sources of friction and fix them at the root. Document what you build so others can use it.
Requirements- 5+ years building software in production, with a strong track record of owning systems or services end to end, from design through operation.
- Strong software engineering fundamentals. You write production-quality code and have built and operated real services, not just scripts or test automation.
- Proficiency in Python, Go, and JavaScript/TypeScript for tooling, automation, and enablement.
- Deep experience with CI/CD systems (GitHub Actions, ArgoCD, GitOps) and building 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 and ship more.
- A builder's mindset and strong ownership. You like creating the tools and systems other people depend on.
- Rigor in diagnosing systemic issues: flaky tests, build latency, deployment failures.
Nice to have- Kubernetes expertise (EKS, K3s) and experience optimizing containerized builds.
- Infrastructure as Code (Terraform, Ansible, Pulumi).
- Front-end tooling familiarity (React, Next.js, Jest) to optimize front-end dev workflows.
- Monitoring and observability (Prometheus, Grafana, Honeycomb) to debug bottlenecks.
CompensationWe offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $180,000 - $250,000 + 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 OpportunityTogether 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.
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