Lead Software Engineer - Reliability & Support
JPMorgan Chase & Co. Mumbai, Maharashtra, India
Financial Services · 10,001+ employees
About the role
The Lead Software Engineer will design, develop, and troubleshoot secure software solutions while driving the adoption of AI-assisted engineering practices. They are responsible for improving operational stability through automation and leading technical evaluations with internal and external teams.
What they look for
Requirements
Candidates must have 5+ years of applied software engineering experience and demonstrated knowledge of large-scale infrastructure including Kubernetes and AWS. Proficiency in modern programming languages, database querying, and agile methodologies is required, along with experience in incident and problem management.
Full 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.
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.
- 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
