oracle
Lead Software Engineer - Java
JPMorgan Chase
Hyderabad, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 1 weeks ago
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JavaSpring BootSpring MVCSpring CloudAmazon Web ServicesDocker
Full Job Posting
- Lead end-to-end design and delivery of scalable Java services and APIs, optimizing for performance, resiliency, and maintainability in production environments
- Architect and implement cloud-native solutions on Amazon Web Services, applying well-structured patterns for reliability, observability, and cost-aware scalability
- Mentor engineers through thoughtful code reviews, design guidance, and pragmatic engineering standards that raise quality and accelerate delivery
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Advanced Java experience, including building Spring Boot–based services in a microservices architecture
- Experience with Java (Core & EE, Spring Boot, Spring MVC, Spring Cloud)
- Practical experience delivering system design, application development, automated testing, and operational stability for production systems
- Hands-on experience building cloud-native applications on Amazon Web Services (e.g., compute, storage, database, container, and serverless services)
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
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