Lead Software Engineer - Java AWS

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

Job summary

JPMorganChase in Bengaluru seeks a software engineer to design, develop, and troubleshoot advanced software solutions. You will advance AI-assisted practices to boost code quality, delivery speed, and reliability, while adhering to secure coding and CI/CD standards.

The role requires cloud-native AWS experience, strong SDLC knowledge, and deep understanding of financial services IT ecosystems in a collaborative, agile environment.

Qualifications

• Formal training or certification on software engineering concepts.
• Hands-on practical experience in delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming language (Java, Python, Scripting Languages).
• Experience leading effective use of AI-assisted software development tools with validation of outputs.
• Strong understanding of responsible AI use in engineering workflows and secure handling of data.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies including CI/CD, resiliency, and security.
• In-depth knowledge of the financial services industry IT systems.
• Practical cloud native experience - AWS.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting beyond routine approaches.
• Develops secure, high-quality production code and reviews code written by others.
• Drives AI-assisted engineering practices to improve code quality, delivery speed, and outcomes with validated standards.
• Applies SDLC tools and AI-assisted development features to boost automation value.
• Identifies opportunities to automate recurring issues to improve stability of apps and systems.
• Leads evaluation sessions with external vendors and internal teams on architectures and applicability.

Skills

Software design & development

Java

Python

Scripting languages

CI/CD

Agile methodologies

AI-assisted tooling usage

Secure coding & testing

Cloud: AWS

SDLC knowledge

Education

Software engineering certification

Tools

AI-assisted development tools

Job description

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

Job Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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.
• 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

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(Java, Python, Scripting Languages)
• 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
• 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 - AWS

Preferred Qualifications, Capabilities, And Skills

• API Gateways Knowledge, Security Concepts

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