DevOps Engineer / Workload Automation

DevOps / Workload Automation Engineer (5-8 Years Experience)

Location:

Elk Grove, CA Prefer local candidates only!! Job Summary Our direct client is seeking a motivated and detail-oriented DevOps Engineer with 3-5 years of hands-on experience in workload automation, Unix/Linux systems, and application support. This role will be responsible for managing and optimizing enterprise job scheduling platforms (AutoSys, JS7, and similar workload automation tools), supporting production environments, and ensuring reliable application performance. The ideal candidate combines strong technical troubleshooting skills with a customer-focused mindset, capable of supporting internal stakeholders and resolving production issues in a fast-paced environment. Key Responsibilities Administer, maintain, and optimize workload automation tools such as AutoSys, JS7, and other enterprise schedulers Monitor and support batch processing, job dependencies, and workflow orchestration Perform application monitoring, incident management, and root cause analysis Troubleshoot production issues across Unix/Linux environments Collaborate with development, infrastructure, and operations teams to improve system reliability Provide Tier 2/3 support and maintain clear communication with customers and stakeholders Implement automation improvements to enhance operational efficiency Maintain documentation for processes, configurations, and runbooks Required Qualifications 5+ years of experience in DevOps, production support, or systems engineering Strong hands-on experience with AutoSys, JS7, or similar workload automation tools Solid knowledge of Unix/Linux systems administration and shell scripting Experience with application monitoring tools (e.g., Dynatrace, AppDynamics, Splunk, Nagios, etc.) Proven troubleshooting and incident management skills Experience supporting production environments with customer-facing responsibilities Strong communication and documentation skills Preferred Qualifications Experience with CI/CD pipelines and DevOps tooling Familiarity with cloud environments (AWS, Azure, or Google Cloud Platform) Knowledge of ITIL processes Experience with automation or scripting (Bash, Python)