DevOps/Automation Engineer

DevOps/Automation Engineer

Pleasanton, CA

Job Description:
o Design, implement, and maintain GitHub Actions (GHA) pipelines (IOS, Android and Java) to automate CI/CD workflows.
o Manage and support artifact deployments across staging and production environments.
o Diagnose and resolve issues in existing GHA pipelines to ensure uninterrupted integration and delivery processes.
o Develop and maintain supporting infrastructure and artifacts, including provisioning and modifying Azure/OCI databases.
o Stay current with emerging technologies and demonstrate a willingness to learn and adopt new tools and frameworks as needed.
o Assist in managing SSL/TLS certificates and ensure adherence to PCI and SOX compliance requirements.
o Provide support and troubleshooting expertise for testing tools, including JUnit and SonarQube.
o Identify and resolve performance issues within Azure Kubernetes Service (AKS) environments.
o Lead the migration of legacy Jenkins jobs to GitHub Actions, ensuring continuity and improvement of CI/CD practices.
o Troubleshoot and resolve build and performance issues on macOS systems, including working with Xcode and related toolchains.

Special Skills:
o Extensive experience with GitHub Actions (GHA), ArgoCD, and Chartis for automating deployments of Java micro services on Azure Kubernetes Service (AKS)
o Proven ability to configure and optimize iOS and Android build pipelines using GitHub Actions.
o Experience migrating and managing workloads on AKS, with strong understanding of container orchestration.
o Proficient with Docker and containerization technologies.
o Familiar with infrastructure-as-code and configuration management using Ruby and Opscode Chef.
o Strong shell scripting skills for automating infrastructure and operational tasks
o Experience using JMeter and BlazeMeter for load and performance testing
o Knowledge of SonarQube for static code analysis and quality enforcement.
o Exposure to Java and Kotlin in the context of supporting mobile and backend CI/CD pipelines.
o Working knowledge of iOS/Xcode build systems and performance debugging on macOS.
o Familiarity with Google Cloud Platform (Google Cloud Platform), particularly for centralized logging and monitoring.
o Experience with observability tools including OpenTelemetry and Prometheus for monitoring and alerting.
o Comfortable working in Linux and macOS environments, with strong troubleshooting skills on both platforms.
o 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