Kforce has a client in Greenwood Village, CO that is seeking a DevOps Engineer / Machine Learning Operations. Summary: Our client is seeking a skilled Kubernetes & ML Ops Engineer to join their fast-paced, collaborative DevOps and Data Science team. This role focuses on deploying and operating scalable AI/ML services on AWS EKS, managing vector databases, and integrating cutting-edge AI services like Azure OpenAI APIs. If you have a passion for Kubernetes mastery, AI/ML workload operationalization, and secure enterprise AI deployment, this opportunity is for you. Responsibilities: * Deploy and manage microservices, including APIs, Docker-based services, and vector stores on Amazon EKS * Ensure 24/7 cluster uptime and seamless service connectivity * Validate stability and performance of deployed configurations and services * Manage PostgreSQL with pgvector for embedding storage * Securely expose and integrate vector databases within Kubernetes environments * Monitor and troubleshoot database performance issues * Implement and maintain CI/CD pipelines using GitLab * Use Terraform for Infrastructure as Code (CloudFormation experience a plus) * Automate build, test, and deployment workflows * Set up monitoring dashboards and alerting via Datadog (Splunk or alternatives welcomed) * Ensure full visibility into system health, latency, and uptime metrics * Collaborate with data science teams to operationalize ML workloads * Support Retrieval-Augmented Generation (RAG) architectures and vector-based search * Integrate securely with Azure OpenAI APIs, including implementing internal guardrails