Leads full-stack software engineering within an agile team, designing, developing, troubleshooting, and delivering secure, scalable web applications using React and Java. Responsibilities include code review, architecture evaluation, automation, resiliency, CI/CD, zero-downtime releases, database and vector search design, and responsible adoption of AI-assisted engineering tools. The role also mentors teams on validating AI outputs for correctness, performance, security, and compliance while collaborating with vendors and internal stakeholders.
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 Consumer and Community Banking, 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
As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking, 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
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Develops secure and high-quality production code, and reviews and debugs code written by others
- 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
- Full-Stack Feature Delivery: Architect, build, and deploy high-performance web applications using React for the front end and Java for the back end
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 10+ years applied experience
- Front-End Mastery: Extensive experience with React.js, TypeScript/JavaScript, HTML5, CSS3, and modern frontend build tools
- Back-End Expertise: Robust background in Java, including framework proficiency with Spring Boot, Spring Security, and Hibernate.
- Data Systems: Experience designing schemas for both traditional relational SQL/NoSQL databases and vector search indexing
- Soft Skills & Collaboration: Agile/Scrum/Kanban team experience, Git version control expertise, and a passion for staying on the cutting edge of AI advancements
- Understanding of application resiliency. Proficiency in automation and continuous delivery methods.
- Proficient in all aspects of the Software Development Life Cycle. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Securityand Design and build solutions that avoid single points of failure using scalable architectural patterns.
- 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
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance
Preferred qualifications, capabilities, and skills
- Exposure to Python
JPMorganChase Hyderabad, Telangana, IND Office
JP Morgan Tower, Salarpuria Sattva Knowledge City, HITEC City, Raidurgam, Hyderabad, Telangana, India, 500081
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