Lead Software Engineer - Java at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

15 Sep, 26

Salary

0.0

Posted On

17 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Spring Boot, Oracle Database, Kafka, MQ, System Design, Distributed Systems, API Development, AI-assisted Engineering, Object-oriented Design, Performance Tuning, Data Modeling, Code Review, Mentoring, Agile Methodology, Payment Systems

Industry

Financial Services

Description

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 JPMorganChase within the Payments technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities * Architect, design, and implement complex back-end services and APIs using Java and Spring Boot, making informed technical trade-offs to ensuring scalability, reliability, and maintainability. * Optimize and design advanced database solutions with Oracle, including data modeling, query optimization, and transaction management. * Integrate and manage messaging systems such as MQ and Kafka for robust, fault-tolerant data flow across distributed systems. * Mentor and guide junior engineers, fostering best practices in coding, design, and system architecture. * Drive code reviews, troubleshooting, and performance tuning for large-scale, high-throughput payment systems. * Collaborate with cross-functional teams to deliver innovative solutions aligned with business goals. * Evaluate and recommend new technologies, frameworks, and tools to continuously improve our platform. * Comply with security, regulatory, and operational standards throughout the software lifecycle. * 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 * Hands-on practical experience delivering system design, application development, testing, and operational stability * Expert-level proficiency in Java and Spring Boot, with a deep understanding of object-oriented design and enterprise patterns. * Extensive experience architecting and building large-scale, distributed systems in a payments or financial services environment. * Advanced knowledge of Oracle databases, including performance tuning and complex query design. * Strong experience with MQ and Kafka, including designing resilient messaging architectures. * Proven track record of making technical trade-offs and decisions in complex environments. * 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

Responsibilities

Architect and implement complex back-end services and APIs for high-throughput payment systems using Java and Spring Boot. Lead the technical direction of the team by mentoring junior engineers and integrating AI-assisted engineering practices to improve delivery speed and quality.