DevOps Engineer

Job Title: DevOps/Automation Engineer Location: Onsite -o 4440 Rosewood Dr, Pleasanton, CA Contract: 6 Months Pay Rate: $70/hr,W2 Benefits: Medical, Dental and Health Job Description:(10+ years.) • Design, implement, and maintain GitHub Actions (GHA) pipelines (IOS, Android and Java) to automate CI/CD workflows. • Manage and support artifact deployments across staging and production environments. • Diagnose and resolve issues in existing GHA pipelines to ensure uninterrupted integration and delivery processes. • Develop and maintain supporting infrastructure and artifacts, including provisioning and modifying Azure/OCI databases. • Stay current with emerging technologies and demonstrate a willingness to learn and adopt new tools and frameworks as needed. • Assist in managing SSL/TLS certificates and ensure adherence to PCI and SOX compliance requirements. • Provide support and troubleshooting expertise for testing tools, including JUnit and SonarQube. • Identify and resolve performance issues within Azure Kubernetes Service (AKS) environments. • Lead the migration of legacy Jenkins jobs to GitHub Actions, ensuring continuity and improvement of CI/CD practices. • Troubleshoot and resolve build and performance issues on macOS systems, including working with Xcode and related toolchains. Special Skills: • Extensive experience with GitHub Actions (GHA), ArgoCD, and Chartis for automating deployments of Java micro services on Azure Kubernetes Service (AKS) • Proven ability to configure and optimize iOS and Android build pipelines using GitHub Actions. • Experience migrating and managing workloads on AKS, with strong understanding of container orchestration. • Proficient with Docker and containerization technologies. • Familiar with infrastructure-as-code and configuration management using Ruby and Opscode Chef. • Strong shell scripting skills for automating infrastructure and operational tasks • Experience using JMeter and BlazeMeter for load and performance testing • Knowledge of SonarQube for static code analysis and quality enforcement. • Exposure to Java and Kotlin in the context of supporting mobile and backend CI/CD pipelines. • Working knowledge of iOS/Xcode build systems and performance debugging on macOS. • Familiarity with Google Cloud Platform (GCP), particularly for centralized logging and monitoring. • Experience with observability tools including OpenTelemetry and Prometheus for monitoring and alerting. • Comfortable working in Linux and macOS environments, with strong troubleshooting skills on both platforms. • Strong ability to analyze CPU and memory usage within Azure Kubernetes Service (AKS), enabling data-driven adjustments to resource allocation for optimal performance and cost efficiency