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Machine Learning Technologies, LLC seeks a seasoned Kubernetes & Cloud Platform Engineer with deep expertise in Kubernetes (EKS/AKS), AWS, Azure, Terraform, Docker, ArgoCD, Harness, Jenkins, and GitLab CI/CD. You will drive GitOps, IaC, and platform reliability for large-scale cloud-native environments.
Ideal candidates have hands-on experience with Istio, cloud security, Prometheus, Grafana, Datadog, and Python automation to improve efficiency and cost management across Banking, Mortgage, and
Job Description:
Seasoned Kubernetes & Cloud Platform Engineer with deep expertise in Kubernetes (EKS/AKS), AWS, Azure, Terraform, Docker, ArgoCD, Harness, Jenkins, and GitLab CI/CD. Strong hands-on experience in GitOps, Infrastructure as Code (IaC), Kubernetes administration, Istio Service Mesh, cloud security, and platform engineering. Proficient in implementing observability and monitoring solutions using Prometheus, Grafana, and Datadog, along with Python-based automation for operational efficiency. Experienced in designing scalable, secure, and highly available cloud-native environments, leveraging Karpenter, HPA, and automation-driven strategies for performance optimization and cloud cost management. Demonstrated expertise in CI/CD modernization, cloud infrastructure automation, reliability engineering, and enterprise Kubernetes platform support across Banking, Mortgage, and Insurance domains.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.