DevOps Automation Engineer

Fiserv • Lincoln, NE

1d • Onsite

About The Position

As a DevOps Automation Engineer, you will help design, build, and operate scalable automation solutions across large-scale production environments. In this role, you will focus on server automation, observability, and operational excellence – ensuring reliability, consistency, and efficiency across hybrid and cloud platforms in our core banking business group.

Requirements

• 5+ years of experience in Premier Core, DevOps or IT Operations roles
• 3+ years of hands-on experience with enterprise monitoring/observability tools (e.g., Dynatrace, Splunk, ExtraHop, Prometheus, Grafana, Datadog)
• 3+ years of experience with automation tools such as Bash and PowerShell for production server automation, combined with hands-on experience with configuration management solutions such as Ansible
• Demonstrated experience managing a large number of production servers, applying consistent configuration, patching and operational standards at scale
• Experience with public cloud platforms (AWS, Azure, GCP) and Kubernetes; working familiarity with ITIL practices and enterprise change management
• Bachelor’s degree in computer science, engineering, or a related field, or an equivalent combination of education, work, and military experience

Nice To Haves

• Experience with CD platforms such as Harness for pipeline orchestration and deployment automation.
• Hands-on experience with Terraform or similar infrastructure-as-code tools in a cloud or hybrid environment.
• Background managing large-scale production server estates across hybrid on-premises and cloud environments

Responsibilities

• Develop and maintain automation solutions to manage and operate large numbers of production servers at scale
• Implement consistent configuration, patching, and operational standards across environments
• Build and enhance server automation using Bash and PowerShell, with configuration management tools such as Ansible
• Support and improve enterprise monitoring and observability using tools like Dynatrace, Splunk, Prometheus, Grafana, Datadog, or ExtraHop
• Collaborate with cloud, platform, and operations teams to support workloads running on Kubernetes and major cloud platforms
• Participate in enterprise change management processes, ensuring stability and compliance in production environments
• Troubleshoot complex operational issues and continuously improve system reliability and performance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees