DevOps Engineer

Join our AI DevOps team and help build the infrastructure and tools that allow AI engineers and data engineers to run AI applications at scale. You will work alongside experienced engineers to develop and operate a platform built on Kubernetes and cloud infrastructure, supporting AI workloads across the organization. This role is ideal for engineers who are interested in learning about cloud infrastructure, Kubernetes, and platform engineering while helping teams run AI applications reliably and efficiently. Support the development and operation of our Kubernetes-based platform running in the cloud. Assist in building and maintaining frameworks and tooling that simplify how AI and data teams deploy and operate applications. Contribute to GitOps deployment workflows using tools such as ArgoCD and Helm. Help maintain the monitoring and observability stack using Grafana and Prometheus. Assist in automating infrastructure using Infrastructure as Code. Contribute to improving the reliability, scalability, and cost efficiency of the platform. Collaborate with engineers across AI and data engineering teams to support their workloads.

You have experience building or working with software systems and are interested in how applications run in production environments. You are curious about cloud infrastructure, Kubernetes, and automation. You have some familiarity with containers, CI/CD pipelines, or cloud platforms. Experience with any cloud platform (AWS, GCP, Azure, or similar) is a plus. You have experience with at least one programming or scripting language such as Python, Go, or Bash. You enjoy learning new technologies and working with engineers across different disciplines including AI, data engineering, and platform teams. You are motivated to help build tools and platforms that simplify how teams deploy and run AI applications. Nice to have: Basic familiarity with Docker and containerization, Kubernetes, CI/CD pipelines, GitOps tools such as ArgoCD, Helm charts, Grafana or Prometheus, Terraform or Infrastructure as Code, Machine learning or data platforms.