Lead Software Engineer - Java Fullstack, AWS

JPMorganChase; Mumbai; On-site; INR 2,000,000 - 3,400,000; Full time

Job summary

JPMorganChase in Mumbai seeks an experienced Java backend engineer to lead end-to-end delivery of complex initiatives. You will design microservices, build secure production code, and guide cross-functional teams including vendors to ensure scalable, reliable systems.

The role emphasizes cloud-native architecture, API design, secure coding, and adoption of AI-assisted development across the SDLC to accelerate delivery and improve quality.

Qualifications

• 5+ years of software engineering experience
• Advanced Java with strong backend fundamentals
• Experience in system design, distributed systems and APIs
• Cloud-native development and deployment experience
• Experience with AI-assisted development tools and secure coding practices

Responsibilities

• Lead end-to-end delivery of complex initiatives from design to production
• Provide technical guidance to business and technical teams, including vendors
• Build secure, high-quality production code and conduct reviews
• Own system design, APIs, data models, and non-functional requirements
• Drive CI/CD, observability, incident response, and reliability improvements
• Act as SME in Java microservices, cloud-native architecture, or distributed systems
• Promote enterprise-wide SDLC best practices and AI-assisted development patterns
• Influence decisions on product design and technical operations processes

Skills

Java backend

Microservices

Cloud-native

AI-assisted engineering

Security

SDLC

API design

Job description

Job Description

Be an integral part of an agile team that continually pushes the envelope to enhance, build, and deliver high-quality technology products.

Be an integral part of an agile team that continually pushes the envelope to enhance, build, and deliver high-quality technology products.

Job Responsibilities

• Lead end-to-end delivery of complex initiatives: translate business outcomes into technical designs, plan execution, drive delivery milestones, and ensure production readiness.
• Provide technical guidance and direction to business and technical teams, including contractors and vendors.
• Build secure, high-quality production code (Java full stack) and conduct thorough code reviews; debug and uplift code written by others.
• Own system design and architecture decisions: define service boundaries, APIs/contracts, data models, resiliency patterns, scalability strategies, and non-functional requirements (performance, security, availability).
• Drive decisions that influence product design, application functionality, and technical operations/processes (CI/CD, observability, incident response, reliability).
• Serve as a function-wide subject matter expert in one or more focus areas (e.g., Java microservices, cloud-native architecture, distributed systems, AWS).
• Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and SDLC best practices.
• Influence peers and project decision-makers to adopt leading-edge technologies and modern engineering patterns.
• 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 hands-on experience in Java with strong grasp of backend engineering fundamentals (concurrency, performance, security, testing).
• Proven ability to deliver system design, application development, testing, and operational stability in production environments.
• Demonstrated strength in design and architecture: microservices and distributed systems patterns, event-driven architecture, API design, data consistency, resiliency and fault tolerance.
• Ability to tackle design and functionality problems independently with little to no oversight; comfortable acting as the engineering "driver" to unblock delivery.
• Practical cloud-native experience, including building, deploying, and operating services on cloud platforms.
• Strong ownership mindset with the ability to drive quality across the SDLC: design reviews, implementation, automation, release, and ongoing support.
• 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

Preferred Qualifications, Capabilities, And Skills

• Experience in AWS (e.g., designing/deploying cloud-native services, security and IAM concepts, monitoring/observability, cost-aware design).