Lead Software Engineer - Pl Sql SQL Data Management

JPMorganChase; Mumbai; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer to join an agile team within the firm’s technology division. You will contribute across multiple technical areas, delivering trusted market-leading products with security, stability, and scalability in mind.

You will drive adoption of AI-assisted engineering practices, ensure secure coding standards, and collaborate with vendors and internal teams to validate architectural designs and drive outcomes.

Qualifications

• Formal training or certification on software engineering concepts.
• Hands-on experience delivering system design and application development.
• Advanced practice in one or more programming languages.
• Experience leading AI-assisted development and tool adoption.

Responsibilities

• Executes creative software solutions and technical troubleshooting.
• Develops secure, high-quality production code and reviews peers.
• Drives AI-assisted engineering practices to improve quality and speed.
• Applies SDLC tools and enterprise automation to improve value.
• Identifies opportunities to automate recurring remediation tasks.
• Leads evaluation sessions on architectural designs with teams and vendors.

Skills

Advanced programming

AI-assisted engineering

SDLC proficiency

Agile methodologies

Security awareness

Job description

Job Description:

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorganChase within the [insert LOB or sub LOB], 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

• A. Formal training or certification on software engineering concepts and 5+ years applied experience ( NAMR/APAC – India/ LATAM/ Hong Kong)
• B. Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil)
• C. Singapore follow local country guidance
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• 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