Lead Software Engineer - Reliability & Support

JPMorgan Chase & Co.; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JPMorgan Chase & Co. in Mumbai seeks a Lead Software Engineer in Reliability & Support to strengthen an agile team delivering trusted market-leading technology products in a secure, scalable way.

You will drive development, security, and AI-assisted engineering practices across the SDLC, collaborating with cross-functional teams and external vendors to improve stability, performance, and incident response.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Experience with Kubernetes and AWS in large-scale environments.
• Experience with ServiceNow and Jira Service Desk.
• Experience in developing, debugging, and maintaining code in a large corporate environment with modern languages and DB querying languages.
• Demonstrated experience leading use of AI-assisted development tools with code review, test acceleration, and troubleshooting.
• Strong understanding of secure coding, data handling, resiliency and security expectations.
• Advanced understanding of agile methodologies including CI/CD, Application Resiliency, and Security.
• Monitoring and supporting applications – infrastructure as well as functional.
• Incident & Problem Management, Change Review and Approval Process.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine.
• 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 to improve quality, speed, and outcomes.
• Applies knowledge of SDLC tools, including AI-assisted development and automation to improve value.
• Identifies opportunities to eliminate or automate remediation to improve operational stability.
• Leads evaluation sessions with external vendors, startups, and internal teams to probe architectural designs and applicability.

Skills

Kubernetes

AWS (Amazon Web Services)

CI/CD

AI-assisted development

Secure coding

Incident management

Java

DB querying languages

Agile methodologies

Tools

ServiceNow

Jira Service Desk

Geneos

Grafana

Splunk

DynaTrace

Oracle

Job description

Lead Software Engineer - Reliability & Support

Job Information

• Job Identification 210785599
• Job Category Software Engineering
• Business Unit Commercial & Investment Bank
• Locations Nirlon Knowledge Park, Western Express Highway, Goregaon (East), Mumbai, IN-MH, 400063, IN
• Job Schedule Full time
• Job Shift Day

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 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.

• 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.
• Demonstrated knowledge of applications or infrastructure in a large-scale technology environment both on premises and public cloud i.e. Kubernetes and Amazon Web Services
• Experience with ticketing systems, such as ServiceNow and Jira Service Desk
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying 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.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Monitoring and Supporting Applications – Infrastructure as well as functional side
• Incident & Problem Management, Change Review and Approval Process

Working knowledge on tools & Platforms – Geneos, Service Now, Grafana, Splunk, DynaTrace, Oracle, Cloud Based platforms, Java applications