IT - Infrastructure Systems - DevOps Engineer II (Remote in CA only)

Golden 1 Credit Union is among the top credit unions in the country, committed to empowering its members and uplifting communities. They are seeking a DevOps Engineer II who will lead automation processes in deploying Infrastructure as Code, manage Linux/Kubernetes environments, and support development teams on API integration strategies.

Responsibilities:

• Independently lead infrastructure-as-code development using Terraform and scripting languages such as Python and PowerShell to support scalable and reliable deployments
• Manage Linux/Kubernetes cluster environments
• Deploy solutions in accordance with Change Management Processes
• Support development teams on API integration strategy and standards development
• Ensure systems are secure against cybersecurity threats
• Identify technical problems and develop software updates and fixes
• Strong Splunk skills for administration, query optimization, alerting, and dashboard development
• Build tools to reduce errors and improve customer experience
• Propose ideas and solutions within the Infrastructure Department to reduce workload through automation
• Design, implement, and optimize CI/CD pipelines for faster and more reliable software releases
• Independently conduct root cause analysis and implement corrective actions
• Design and write tests to investigate infrastructure failure and scaling
• Create and maintain response playbooks across incident management and monitoring tools
• Develop automation to ensure repeatability, eliminate toil, and reduce time to action and repair services
• Analyze key operational metrics to identify opportunities to improve availability
• Implement effective monitoring, alerting, and reduction of alert fatigue
• Manage container orchestration environments and optimize deployment workflows to enhance scalability, reliability, and operational efficiency
• Design, build, and manage containerized environments using Docker
• Create and maintain SLIs, SLOs, and error budgets
• Design and optimize monitoring dashboards and alerting systems to proactively detect and address application performance and uptime issues
• Implement code branching strategies using GitHub functions
• Advanced Terraform syntax and GitLab CI/CD configuration, pipelines, jobs
• Provisioning and setting up metrics in Prometheus, Thanos, and Grafana, creating and managing alerts
• Implement cloud engineering standards, reusable modules, and platform patterns in Microsoft Azure
• Operate shared cloud platform services according to Cloud Engineering defined architectures
• Ensure infrastructure changes comply with reliability, security, and cost controls established by Cloud Engineering
• Maintain operational documentation and runbooks for cloud platform services

Requirements:

• Bachelor of science degree (or equivalent) in computer science, engineering, or relevant field
• Over 4 years as a DevOps Engineer in medium to large-scale environments
• Proficient in Windows Server, Linux, and hybrid cloud deployments using Microsoft Azure and VMWare
• Skilled in Git/GitHub workflows, Terraform, Python, PowerShell, and container orchestration (Tanzu, Docker, Kubernetes, OpenShift)
• Experienced with CI/CD tools (Jenkins, GitLab CI, Azure DevOps) and observability platforms (Datadog, Prometheus, Grafana, ThousandEyes)
• Knowledgeable in log management (ELK Stack) and database technologies (PostgreSQL, MySQL, NoSQL)
• Strong background in automating infrastructure provisioning and application deployment using Terraform, Ansible, and Kubernetes
• Proficient in creating and maintaining monitoring dashboards, SLIs, SLOs, and error budgets to ensure application uptime and performance
• Experienced in ensuring infrastructure security, driving automation initiatives, and collaborating across teams to improve reliability and scalability
• Experienced in building observability pipelines and performing advanced queries in log management tools like Splunk for troubleshooting
• Experience implementing and operating Azure-based shared services defined by platform or cloud engineering teams
• Microsoft Azure DevOps Engineer Expert Certification (Required)
• Kubernetes Administration Certification (Required)
• Linux Certification (Desired)