Lead Software Engineer Java Python Sql

Aumni; Hyderabad; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

JPMorganChase in Hyderabad seeks a Lead Software Engineer to drive secure, scalable software solutions in an agile environment. You will contribute as a core technical member, delivering high-quality production code and guiding AI-assisted tooling adoption.

The role requires deep expertise in Java, Python, and SQL, plus experience with cloud-native architectures and enterprise SDLC practices. Strong leadership and collaboration across teams are essential.

Qualifications

• Formal training or certification on software engineering concepts.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced in Java, Python and SQL.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting.
• Develops secure production code and reviews/debugs code written by others.
• Drives team adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operations.
• Applies knowledge of SDLC tools and AI-assisted development to improve automation and value.
• Identifies opportunities to automate remediation of recurring issues for stability.
• Leads evaluation sessions with external vendors and internal teams on architecture and technical applicability.

Skills

Java

Python

SQL

AI-assisted coding

CI/CD

Agile

Secure coding

Education

Software engineering training

Tools

AWS

Kafka

Spark

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 JPMorganChase within the CONSUMER & 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

• 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 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in Java, Python and SQL
• 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

Preferred qualifications, capabilities, and skills

• AWS Services, Kafka, Spark

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