Lead Software Engineer - Python, sql/plqsl, Automation

JPMorgan Chase Bank; Mumbai; On-site; INR 2,800,000 - 4,400,000; Full time

Job summary

JPMorganChase in Mumbai seeks a Lead Software Engineer to join an agile team delivering trusted market-leading technology products in a secure, scalable way. You will be a core technical contributor, building solutions across multiple domains in support of the firm’s objectives.

You will lead end-to-end production incident response, automation initiatives, and the adoption of enterprise AI-assisted engineering practices, while upholding secure coding and resiliency standards across the software

Qualifications

• 5+ years of software engineering experience.
• Experience delivering system design, development, testing, and operational stability.
• Strong Python and SQL/PLSQL skills with automation experience.
• Exposure to AWS and Kafka in production environments.
• Leading AI-assisted engineering practices and secure coding adoption.
• Hands-on experience with secure, automated testing and code reviews.

Responsibilities

• Executes creative software solutions, design, development, and debugging across multiple areas.
• Lead end-to-end incident response and post-incident remediation.
• Drive automation with Python and SQL/PLSQL to reduce toil.
• Promote AI-assisted development practices and secure validation standards.

Skills

Python

SQL/PLSQL

AWS

Kafka

CI/CD

AI-assisted coding

Automation tooling

Security & resiliency

Agile methodologies

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 Commercial & Investment 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.

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
• Lead end to end P1/P2 production incident response, triage, impact analysis, mitigation, recovery, and stakeholder updates
• Drive problem management and permanent remediation: run RCA sessions, define corrective/preventive actions, prioritize fixes with engineering, and track closure to measurable outcomes.
• Lead TOIL reduction by identifying repetitive operational work and delivering automation using Python and SQL/PLSQL (scripts, tooling, workflows, utilities).
• 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.
• 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

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
• Strong hands-on engineering skills in Python and database systems (SQL/PLSQL), with a track record of building automation and diagnostic tooling.
• Exposure to AWS cloud and Kafka
• Design and deliver self-service operational tooling (including UI-based run/operate screens) using AI agents/Copilot-style capabilities to improve support throughput and consistently
• 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
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)