Lead Software Engineer - Java and Cloud Technologies

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JP Morgan Services India Pvt Ltd is seeking a Lead Software Engineer - Java, AWS to drive end-to-end microservices and API development. You will design and implement scalable solutions, mentor a team, and collaborate with architecture and product teams. Expect a focus on secure, resilient production systems and cloud-ready patterns.

The role emphasizes leadership, advanced Java/Spring Boot expertise, and experience with AI-assisted development tools to improve delivery speed and code quality.

Qualifications

• Formal training or certification in software engineering concepts.
• Expert proficiency in Java and Spring Boot; familiar with IntelliJ and VS Code.
• Experience building RESTful services, microservices, and API-first designs.
• Strong design documentation skills (HLD/LLD) and understanding of CI/CD.

Responsibilities

• Lead an engineering team to deliver scope or act as senior IC as needed.
• Own end-to-end design and implementation for microservices/APIs using Java/Spring Boot.
• Produce HLD/LLD documents with traceability from requirements to implementation.
• Collaborate with product, architecture, and operations to plan releases and dependencies.
• Contribute to cloud-ready architecture; work on AWS/Azure patterns where applicable.
• Drive continuous improvement in process, tooling, and resiliency of production systems.
• Mentor junior engineers; perform code reviews and coaching.
• Develop secure, production-grade code and review others' code.

Skills

Java

Spring Boot

AWS

Microservices

REST APIs

HLD/LLD

CI/CD

AI-assisted tooling

Tools

IntelliJ

VS Code

Job description

Lead Software Engineer - Java , AWS 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 - Kinexys 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

• Lead an engineering team to deliver assigned scope, or operate as a senior individual contributor depending on program needs.
• Own end-to-end solution design and implementation for microservices and APIs using Java and Spring Boot.
• Produce clear High-Level Design (HLD) and Low-Level Design (LLD) documents; ensure traceability from requirements to implementation.
• Collaborate with product, architecture, and operations to plan releases, manage dependencies, and de-risk delivery.
• Contribute to cloud-ready architecture and deployment patterns; partner on AWS/Azure implementations where applicable.
• Drive continuous improvement in process, tooling, and platform capabilities; address production issues with a focus on resiliency.
• Guide and mentor junior engineers: code reviews, technical coaching, best practices.
• Executes 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
• Develops secure high-quality production code, and reviews and debugs code written by others.
• 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
• Adds to team culture of diversity, opportunity, inclusion, and respect.
• 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
• Expert proficiency in Java and Spring Boot and familiar with tools like Intellij and Visual code.
• Using AI tools for daily development and simplifying day to day developer lifecycle like copilot/claude.
• Building RESTful services, microservices, and API-first designs.
• Dependency injection, configuration management, modular design
• Strong experience designing complex distributed systems and documenting HLD/LLD.
• Performance tuning, concurrency, memory management
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Proficiency in automation and continuous delivery methods and in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems.
• Practical cloud native experience.
• 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
• 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

• Banking/payments domain knowledge (e.g., authorization, clearing/settlement, transaction processing, reconciliation, ISO 20022 standards ,Different payment channels like Swift/pain/MX).
• Cloud knowledge on AWS or Azure (compute, storage, networking, IAM/security); familiarity with containerization (Docker) and orchestration (Kubernetes) is a plus.
• Kotlin experience or knowledge; ability to read/write Kotlin and understand Java interoperability.
• Observability practices (metrics, logs, tracing) and SRE principles for production systems.
• Experience with messaging/event streaming (e.g., Kafka), caching, and resiliency patterns (circuit breakers, retries, timeouts).