Manager of Software Engineering

Aumni; Bengaluru; On-site; INR 2,200,000 - 4,200,000; Full time

Job summary

JPMorgan Chase in Bengaluru, India, is seeking a Lead Software Engineer to design, build, and operate scalable, cloud-native backend systems using Java and Spring Boot. You will contribute technically as a core member of an agile team focused on secure, stable, and high-performance software.

The role emphasizes non-functional aspects, including deployment automation, code review, and incident analysis, with leadership in AI-assisted development practices and enterprise tooling adoption.

Qualifications

• Advanced Java programming.
• Experience delivering scalable backend systems.
• Exposed to cloud-native architectures in production.
• Familiar with containerized deployments (Docker/Kubernetes).
• Understanding of CI/CD and security in software delivery.
• Experience with AI-assisted development tools is a plus.

Responsibilities

• Executes creative software solutions and troubleshoot complex problems.
• Develops secure production code and reviews peers’ work.
• Improves operational stability by eliminating recurring issues.
• Leads architectural design evaluations with internal and external teams.
• Promotes AI-assisted engineering practices for faster delivery and quality.
• Applies SDLC tools to improve automation and value.
• Leads communities of practice in software engineering.

Skills

Java

Distributed Systems

Spring Boot

Kubernetes

AWS

CI/CD

AI-assisted development

Security

Agile

Tools

Docker

CI/CD Pipelines

Job 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 JPMorgan Chase within the Consumer and Community 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 conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

We are seeking an experienced Java Distributed Systems Engineer to design, build, and operate highly scalable, resilient, and cloud-native backend systems. The role involves working on modern databases, Spring Boot-based microservices, and cloud infrastructure, with a strong emphasis on non-functional aspects.

Job responsibilities

• 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
• 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.
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in Java programming language
• Proficiency in automation and continuous delivery methodsProficient in all aspects of the Software Development Life Cycle1
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security1
• 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
• Experience designing, deploying, and managing containerized applications using Kubernetes
• In-depth knowledge of the financial services industry and their IT systems
• Practical AWS experience

Preferred qualifications, capabilities, and skills

• Co-Pilot skills
• AWS solution architect certification
• Familiarity with Springboot

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team