Sr Software Engineer - Java/SpringBoot, Optum Technology - Remote

Primary Responsibilities

• Full Stack Development: Developing and managing business rules in IBM ODM, including rule authoring, decision tables, and ruleflow maintenance
• Design and build REST and GraphQL APIs in Java
• Design and implement Kafka producers and consumers including schema design, partitioning strategy, and reliable message processing
• Set up and manage deployment pipelines using GitHub Actions, including reusable workflows, environment secrets, and automated deployment rules
• Write JUnit tests with high code coverage, ability to identify and remediate issues from static and dynamic code analysis tools (eg, CodeQL, SonarQube, security scanners)
• Work with MySQL, including designing high performance database schemas optimized for high volume transactional workloads
• Perform system testing and end to end testing to ensure the delivery of high quality, resilient, and secure code to production, and provide support for production systems as needed
• Deploy services on Kubernetes based platforms (eg, HCC K8s), including configuration, scaling, and troubleshooting
• Devops & Collaboration: Use observability and monitoring tools such as Splunk, Dynatrace, Zabbix, and Grafana to monitor logs, track application performance, analyze trends, and proactively identify issues
• Collaborate with cross-functional teams including architects, business users and operations
• Participate in code reviews, architecture discussions, and agile ceremonies
• Support the application in production, ensuring availability, stability, and timely issue resolution
• Participate in PLM activities, ensuring compliance with organizational release governance and alignment with CI/CD and deployment lifecycle requirements
• Maintain detailed and up to date documentation for application features, system behavior, and associated security controls to support engineering and operational excellence
• Ai Tool Usage: Utilize AI-powered development tools (eg, GitHub Copilot etc) for code generation, refactoring, debugging, and documentation
• Apply AI tools to improve test coverage, code quality, and productivity
• Stay updated with emerging AI technologies relevant to software development

Required Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, or related field
• 10+ years of experience in IT, with solid focus on application engineering and production operations
• Solid experience with cloud platforms, APIs, event driven automation, and integration patterns
• Experience in scripting and automation using Python, Power Automate, Microsoft Graph API, and shell scripting
• Solid experience with Java, Maven, XML, REST APIs, microservices, and web services
• Solid SQL skills and experience with relational and NoSQL databases; exposure to Kafka or other streaming platforms
• Working knowledge of AI tools and their application in engineering workflows
• Proven excellent communication skills with ability to explain complex concepts clearly
• Proven comfortable working with global, distributed teams in a fast paced environment