Lead Software Engineer - Java Fullstack

JP Morgan Chase; Hyderabad City Taluka; On-site; PKR 2,400,000 - 4,200,000; Full time

Job summary

JP Morgan Chase is seeking a Lead Software Engineer to contribute technically across multiple areas and deliver scalable, secure software in an agile environment. You will participate in design, development, and operational support of cloud-native microservices, emphasizing secure coding, code reviews, and performance."

The role requires leadership in adopting enterprise AI-assisted engineering practices, collaboration, and ensuring resilience and security across the software lifecycle.

Qualifications

• 5+ years hands-on experience in software engineering including system design, development, testing, and operations.

Responsibilities

• Execute creative software solutions, design, develop, and troubleshoot complex problems.
• Deliver end-to-end cloud-native, microservices-based solutions using modern technologies.
• Model domains to build scalable, secure business products and write high-quality production code.

Skills

Java

Spring Boot

Hibernate

React

Angular

HTML

CSS

JavaScript

TypeScript

RESTful APIs

WebSockets

JSON

AWS

Azure

GCP

CI/CD

Application Resiliency

Security

SQL

MySQL

PostgreSQL

Git

AI-assisted development tools

Responsible AI

Education

Formal training or certification in software engineering

AWS certification

Tools

Git

AI-assisted development tools

Job description

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

• Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems.
• Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.
• Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution and 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 communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies and Adds to team culture of diversity, opportunity, inclusion, and respect.
• Promptly investigate and resolve issues, ensuring they do not resurface and Continuously update technologies and patterns to keep systems current.
• Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance.
• 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 of hands-on experience in software engineering, including system design, application development, testing, and operational support.
• Proficiency in back-end technologies (e.g., Java, Springboot,) with experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).Strong proficiency in Java and related frameworks (Spring, Spring Boot, Hibernate).
• Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Experience with database technologies (SQL, MySQL, PostgreSQL) and Experience with version control systems (Git).
• 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

• Ability to drive broader impact by sharing and contributing best practices.
• Experience in the banking domain, AWS certification.
• Understanding of RESTful API design and integration.