Leads software engineering for consumer banking applications, developing secure Java microservices and React interfaces. Designs, debugs, reviews, and troubleshoots production code while improving resiliency, automation, and operational stability. Guides adoption of approved AI-assisted development practices with validation for correctness, performance, and security. Evaluates architectural solutions, collaborates with vendors and internal teams, and owns components end to end using cloud, event-driven, database, and modern SDLC technologies.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking , you will execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
Job Responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down complex technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others and AI agents
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems by leveraging AI judiciously
- 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
- 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
- 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.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Advanced proficiency in Java and microservices using Spring Boot / Spring Cloud & React for UI Build
- Hands-on experience with Kafka and event-driven/distributed system patterns.
- Solid expertise in SQL, RDBMS, and NoSQL (e.g., Cassandra) with strong data modeling and performance fundamentals.
- Engineering practices across SDLC, including CI/CD, automation, resiliency, and security.
- Experience with modern platforms/tooling: AWS, Jenkins, Bitbucket, Jira, Agile, DevOps/SRE, and Cloud Foundry.
- 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
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Ability to own components end-to-end, collaborate effectively in large teams, and apply strong financial services domain knowledge.
- 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.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
JPMorganChase Hyderabad, Telangana, IND Office
JP Morgan Tower, Salarpuria Sattva Knowledge City, HITEC City, Raidurgam, Hyderabad, Telangana, India, 500081
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