DevOps Engineer
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Job Overview
Job ID: J53431Job Title:
DevOps Engineer
Location: Dallas, TX
Duration: 24 Months + Extension
Domain Exposure: Retail
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2CView All Jobs
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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. Must Have Skills: Kubernetes & Cloud Platform Engineer Infrastructure as Code (IaC) Python-based automation Prometheus, Grafana, and Datadog AWS, Azure, Terraform Apply NowEqual Opportunity Employer 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. Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.