Lead DevOps Engineer (AWS)

About The Role In this role, you will be responsible for operating and evolving a cloud-native, multi-tenant MLOps platform that supports machine learning and data science workloads. You will work closely with engineering, infrastructure, and data teams to ensure the platform remains secure, scalable, reliable, and continuously improving. Your work will directly contribute to enabling efficient AI/ML development and production environments across the organization. Responsibilities Operate, maintain, and improve a Kubernetes-based MLOps platformManage infrastructure using Terraform and GitOps practicesSupport tenant onboarding, platform services, deployment pipelines, and ML workflowsMonitor platform health, respond to incidents, and improve operational processesOptimize platform performance, reliability, security, and cloud costsCollaborate with engineering, data science, and infrastructure teams to deliver a stable and scalable platform Requirements Experience with AWS services, including EKS, IAM, VPC, Route53, S3, ECR, and related cloud infrastructureStrong Kubernetes administration skills, including cluster operations, networking, autoscaling, and troubleshootingHands-on experience with Infrastructure as Code using Terraform, Terragrunt, and HelmExperience with GitOps and CI/CD tools such as ArgoCD and GitHub ActionsKnowledge of identity and access management, observability, and platform security best practicesExperience with monitoring tools such as Prometheus, Grafana, CloudWatch, or DatadogScripting and automation skills using Python and/or BashStrong problem-solving skills and experience supporting production environmentsExcellent communication and collaboration skillsExperience with NVIDIA technologies, including GPU infrastructure, GPU operators, CUDA, or AI/ML platform optimization (nice to have) SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.