Senior Software Engineer - Enhance Production Systems

_hackajob is collaborating with UnitedHealth Group to connect them with exceptional tech professionals for this role.

_Primary Responsibilities

Production support for Priority 1 Critical business applications like PAS & PANDA ensuring uptime, performance, and SLA adherence through Incident management and root cause analysis for P1/P2 issues, with a focus on proactive detection and resolution

Implementation of AI/ML-based monitoring and alerting systems to reduce incident influx and improve triaging speed

Support CI/CD and DevOps initiatives and contribute to automation and modernization efforts

Collaborate with cross-functional teams across Dev, Support, and Infrastructure to ensure seamless delivery and support

Contribute to the design and development of automation scripts and tools to enhance system reliability and reduce manual toil

Foster a culture of operational excellence and continuous improvement

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.

Qualifications - External

Required Qualifications:

Bachelor’s or Master’s degree in computer science, engineering, or related field

8+ years of experience in software engineering, with at least 4+ years in production support

5+ years of hands-on experience in React, Spring Boot, and Azure; experience in Java/Python

2+ years of hands-on experience with Microsoft Azure (e.g., App Services, Functions, Monitor, DevOps)

Experience in application debugging, troubleshooting, and analyzing logs & alerts using tools like Splunk, App Insights, and Dynatrace

Understanding of Oracle database and ability to write SQL queries

Familiarity with Kubernetes, cloud deployments, and CI/CD pipelines

Familiarity with GenAI tools (e.g., CoPilot, Splunk MLTK) & understanding of AI/ML concepts and experience applying them to operational use cases (e.g., anomaly detection, predictive alerts)

Excellent problem-solving, communication, and stakeholder management skills

Flexible to work off hours including weekends in case of critical business issues (e.g., Priority 1 or 2 incidents)

Preferred Qualifications

Experience in Pega

Understanding US healthcare, specifically Prior Auth/claims domain