Lead Software Engineer - Java Fullstack Developer

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

JP Morgan Services India Pvt Ltd seeks a Lead Software Engineer - Java Fullstack to drive delivery of market-leading technology products. You will mentor engineers, set technical direction, and coordinate across teams to meet business requirements.

The role emphasizes AI-assisted development, secure coding practices, and scalable, resilient systems. The ideal candidate brings 12+ years of software engineering leadership experience, deep Java stack expertise, cloud familiarity, and a proven

Qualifications

• Formal training or certification on software engineering concepts
• Experience leading technology projects
• Proficiency in automation and continuous delivery methods
• Proficiency in all aspects of the SDLC
• Advanced understanding of agile methodologies including CI/CD, resiliency and security
• In-depth knowledge of financial services IT systems
• Practical cloud-native experience
• Deep expertise in Java, Spring Boot, J2EE, MQ, Oracle, Postgres, Dapr, Flink, Kafka and Apache Iceberg
• Proficiency in UNIX, Apache Tomcat, and SQL; knowledge of JavaScript frameworks
• Experience designing distributed applications and implementing Agile methodologies
• Strong background in database management, web services, and Oracle
• Experience with Selenium for test automation
• Ability to debug complex systems and drive technical discussions independently
• Experience leading AI-assisted development adoption across teams
• Understanding of responsible AI use and governance in engineering workflows

Responsibilities

• Provides guidance to the immediate team of software engineers on daily tasks
• Sets overall guidance and expectations for team output and collaboration
• Anticipates dependencies with other teams to deliver products
• Manages stakeholder relationships and compliance-aligned work
• Fosters culture of diversity, inclusion, and respect within the team
• Leads adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation
• Applies SDLC toolchain knowledge to improve automation and code quality

Skills

Core Java

Spring Boot

J2EE

Angular/React JS

Selenium

CI/CD

Unix

SQL

Oracle

Kafka

Flink

Tools

Tomcat

Dapr

Job description

Lead Software Engineer - Java Fullstack (Angular/React JS)

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 Commercial and Investment Bank 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 delivering critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

• Provides guidance to immediate team of software engineers on daily tasks and activities
• Sets the overall guidance and expectations for team output, practices, and collaboration
• Anticipates dependencies with other teams to deliver products and applications in line with business requirements
• Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
• Creates a culture of diversity, opportunity, inclusion, and respect for the team members and prioritizes diverse representation.
• Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
• 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 and support capacity unlock initiatives.
• 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.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 12+ years applied experience
• Experience leading technology projects.
• Proficient 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 Security.
• In-depth knowledge of the financial services industry and their IT systems.
• Practical cloud native experience.
• Deep expertise in core Java, Spring Boot, J2EE, messaging systems (MQ), Oracle, Postgres, Dapr, Flink, Kafka and Apache Iceberg.
• Proficient in UNIX, Apache Tomcat, and SQL; knowledge of Java Script framework is must.
• Proven experience in designing distributed applications and implementing Agile methodologies.
• Strong background in database management, web services, and Oracle (DB DDL, DML, stored procedures).
• Experience with Selenium for test automation.
• Demonstrated ability to debug complex systems and drive technical discussions independently.
• Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.

Preferred Qualifications, Capabilities, and Skills

• Experience working at code level
• Exposure to full software development lifecycle in large-scale systems, preferably within the financial industry.
• Financial industry experience is highly desirable.
• Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines