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 Consumer and Community Banking's Technology, BBAO team, you will design, build, and support scalable backend services, APIs, and up-to-date UI applications that enable seamless customer acquisition and account origination journeys. Youll contribute across the full software development lifecycle, partner with cross-functional stakeholders, and apply strong engineering practices (testing, CI/CD, observability, and secure development) to deliver resilient, high-quality solutions.

Youll also have opportunities to contribute to AI-enabled capabilities and agent-driven tools that improve customer and employee experiences.

Job Responsibilities

- 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.
- Design, develop, and maintain full stack solutions, including Java/Spring Boot backend services, RESTful microservices, and modern UI applications using React or Angular.
- Build secure, high-performing APIs and integrations; contribute to service reliability, resiliency, and performance tuning.
- Collaborate daily with Product, Design,



and Data & Analytics to refine requirements, estimate work, and deliver iteratively using Agile practices.
- Write clean, maintainable code with strong unit/integration test coverage; participate in code reviews and design discussions.
- Support and improve CI/CD pipelines and engineering automation; champion best practices in quality and developer productivity.
- Contribute to production support: troubleshooting, incident triage, root-cause analysis, and preventative improvements.
- Participate in application, data, and infrastructure architecture conversations and help evolve platform standards.

Required

Qualifications, capabilities, and skills:

- Formal training or certification on software engineering concepts and 5 years applied experience.
- Hands-on software engineering experience delivering production applications, with a strong focus on backend and UI development.
- 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 - Proficiency with modern UI frameworks such as Angular or React (to effectively partner on end-to-end delivery).

- Proficiency in Java and Spring Boot, including building and operating REST APIs and microservices.
- Experience with modern Agile delivery practices (Scrum/Kanban), CI/CD, and DevOps-aligned development (automated quality gates, release pipelines).

Experience with cloud and/or container platforms (e.g., AWS or Cloud Foundry, Docker/Kubernetes).

- Working experience with databases: Oracle and/or NoSQL datastores such as Cassandra or MongoDB (data modeling, query performance, reliability).
- Experience with observability tooling (metrics, logs, traces) and production readiness practices.

Experience with UAT and/or accessibility testing.

- Strong Java 8 (lambdas/streams) React/Angular full-stack development experience.

Experience developing Kafka producers/consumers in Java - NoSQL experience: Cassandra / DynamoDB / Elastic Search. Hands-on Cloud Foundry/AWS and building/maintaining CI/CD pipelines. Strong quality mindset (TDD, automation) and ability to lead design/code reviews and mentor engineers Preferred qualifications, capabilities, and skills:

- Interest and ability to build agent-style tools/workflows that execute multi-step tasks using tools/APIs (e.g., orchestration, routing, workflow automation).
- Familiarity with reliability patterns for LLM applications, such as: Tool/function calling and structured outputs, Prompt iteration and evaluation & Grounding approaches such as RAG (retrieval-augmented generation) - Awareness of responsible AI fundamentals: privacy-by-design, safe handling of sensitive data, and validating outputs for correctness and .

📌 Lead Software Engineer - Fullstack Lead - AI, LLM (Telangana) (Hyderabad)
🏢 JPMorganChase
📍 Hyderabad