Software Engineer - Mainframe
About The Position
Software Engineer is responsible for supporting UMR's Claim, Eligibility, & Billing applications in a Mainframe environment. Resource must have strong analytical skills and strong communication skills to work with our UMR business partners and deliver work as expected. Resource must be able to work independently and incorporate AI tools into daily activities to solve complex business problems in a very dynamic work environment. You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Requirements
- Bachelor's degree in Computer Science, IT or Engineering related field
- 3+ years of experience working within the Software Development Life Cycle
- 3+ years of experience with COBOL, JCL, DB2, CICS, Rest API on an IBM Mainframe
- 3+ years of experience with Mainframe tools such as XPEDITER, Endevor, & TSO/ISPF
- 3+ years of experience with Performance techniques, Tuning requests
- 1+ years of experience with Github Copilot
Nice To Haves
- Experience with Infrastructure as Code, automation, and configuration management practices
- Experience supporting mission‑critical data and analytics platforms, including incident management and RCA
- Experience with containerization and orchestration technologies (Docker, Kubernetes, AKS)
- Experience operating in security‑ and compliance‑driven environments, including RBAC, audit controls, and governance
- Prior experience mentoring engineers or acting as a technical lead within DevOps or platform initiatives
- Solid understanding of monitoring, logging, and observability in large‑scale production environments
- Strong communication skills and ability to collaborate with cross‑functional engineering teams
- Exposure to AI‑enabled DevOps or AIOps, including automated remediation, intelligent monitoring, or predictive analytics
- Familiarity with GenAI tools for AI‑assisted troubleshooting, pipeline optimization, or operational insights
Responsibilities
- Solid understanding of software engineering processes: Design patterns, algorithms, data structures, schemas and queries, system design, unit testing, code reviews, agile and dev-ops
- Analyze business requirements to develop software solutions that tackle complex business problems
- Experience with end-to-end project handling
- Actively participate in Scrum ceremonies
- Provide support for application maintenance and support new development
- Resolve production issues and perform root cause analysis to meet strict SLA’s (Service Level Agreements)
- Available for production deployments and troubleshooting during off hours/weekends
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
