Deployment Engineer
Comet · USA, Remote
About this role
**Deployment Engineer (East or Central USA Only)** **About Comet** Comet is building the development platform for teams who want to ship robust, reliable, and responsible AI applications. Our open source LLM evaluation framework, **Opik**, and our experiment management platform are used by data scientists and engineers at companies like **Uber, Netflix, and Etsy**—with tens of thousands of users worldwide. Comet is **remote-first**, with offices in **New York City (USA)** and **Tel Aviv (Israel)**, and is backed by **$63M+** in venture funding. --- **About the Role** Comet is looking for an experienced **Deployment Engineer** (located in the **East or Central USA only**) to help customers successfully **deploy, operate, and troubleshoot** Comet in their environments. This is a **highly customer-facing engineering role**. You’ll work directly with customers to understand their infrastructure and deployment requirements, lead deployments, troubleshoot complex issues, and drive problems through to resolution. You’ll also contribute to the engineering and automation behind our deployment solutions, including **Kubernetes, Helm, Terraform, cloud infrastructure, tooling, and documentation**. --- **What You’ll Do** - Work directly with customers to understand their infrastructure and deployment requirements - Deploy and maintain Comet across **Kubernetes** and **cloud** environments - Troubleshoot complex infrastructure and deployment issues across **Kubernetes, networking, cloud services, databases, and application configuration** - Own customer issues from investigation through resolution (collaborating with Engineering, Support, Customer Success, and others as needed) - Develop and improve **Helm charts, Terraform, deployment tooling, automation, and documentation** - Participate in technical customer calls and explain complex topics clearly - Use AI tools for troubleshooting, development, automation, and investigation—while validating results and maintaining engineering judgment --- **What We’re Looking For** - **Proven customer-facing technical experience** - Proven experience using **AI tools** in real engineering workflows, with the ability to critically evaluate and validate output - Strong hands-on experience with **Kubernetes, Helm**, and containerized applications - Production experience with cloud infrastructure, preferably **AWS** - Experience with **Infrastructure as Code**, preferably **Terraform** - Strong **Linux, networking, and infrastructure troubleshooting** skills - Experience troubleshooting production systems using **logs, metrics, and observability tools** - Excellent written and verbal communication skills --- **How You Work** - Take ownership and proactively move problems forward - Enjoy troubleshooting unfamiliar systems and focus on root causes (not quick workarounds) - Work independently while knowing when to collaborate or ask for help - Communicate progress, blockers, and decisions clearly—especially in a remote environment - Comfortable with ambiguity and changing priorities - Care about both customer experience and engineering quality --- **Nice to Have** - Enterprise or self-hosted software experience - Multi-cloud or on-premises deployment experience - **CI/CD** and **GitOps** experience - **MLOps** or AI infrastructure experience - Software development experience - Startup experience --- **What We Offer** - Competitive base salary: **$150K–$200K** (based on experience, skills, and location)
Listing freshness
CronJobs last confirmed this listing 1h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.