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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