Key skills
JavaAIAgenticKafkaSpring BootSpringJenkinsGitJiraAgileSDLCCI/CDLeadershipMentoringCommunicationCritical ThinkingProblem SolvingPresentation Skills
About this role
As an ODM Developer, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.
Experience: - 10+ Years
Educational Qualifications: -
- Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
- Technical certification in multiple technologies is desirable.
Mandatory skills: Java, ODM or Experience in Rules engine Java 8, ODM, Spring boot, Spring core, Hibernate, Microservices
Desired Skills: Kafka, Elastic search, Jenkins, GIT, Jira
Job Description
Good understanding of US HC, especially on RCM (revenue cycle management), clinicals (medications, orders, labs, etc)
Should have a working experience in Agile methodology
Need to have excellent communication skills (including English conversation skills), demonstrate excellent problem solving and critical thinking skills.
Able to plan/track tasks/activities.
Technical leadership and mentoring.
Excellent team player with strong communication, inter-personal, presentation skills.
Proven experience architecting and delivering systems using agentic IDEs Ability to:
Define architectural intent that agents can follow
Break features into agent executable tasks
Govern AI autonomy (guardrails, permissions, reviews)
Integrate agentic workflows into CI/CD pipelines
Experience supervising AI agents across:
Multi service systems
Legacy modernization
Large codebases / monorepos
Strong understanding of:
Security implications of autonomous code execution
Compliance, auditability, and traceability
AI assisted SDLC operating models
Core Responsibility:
Guide effective use of agentic IDEs for complex, multi-module or cross-service changes
Establish review practices and quality checks for AI-generated code
Mentor team members on balancing autonomy, correctness, and maintainability in AI-assisted development
Design system architectures that support AI-augmented and agentic development workflows
Define guardrails, standards, and governance for the use of autonomous coding agents
Evaluate impact of agentic IDEs on SDLC, CI/CD pipelines, security posture, and technical debt
Experience in working with multi-location and offshore teams.