Leads backend software engineering for JPMorgan Chase’s Infrastructure Platforms team. Responsibilities include designing, developing, testing, debugging, and securing production software; reviewing code; improving application resilience and operational stability; adopting AI-assisted engineering practices; automating recurring remediation; and evaluating vendor and architectural solutions. Requires advanced programming expertise, cloud-native experience, SDLC proficiency, agile delivery knowledge, and financial-services IT experience.
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 Infrastructure Platforms team 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
As a Lead Software Engineer at JPMorgan Chase within the Infrastructure Platforms team 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 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
Preferred qualifications, capabilities, and skills
- Ability to multitask and swiftly transition between different types of issues.
- Passion for learning new technologies and driving innovative solutions.
Similar Jobs
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Processes client orders and legal documents, responds to internal and external inquiries, updates customer records, manages portfolios, fulfills orders across jurisdictions, coordinates project progress, navigates multiple databases, and resolves documentation issues while maintaining accuracy and strong customer service.
Top Skills:
MS OfficeSalesforce
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Develop end-to-end product design solutions, create high-fidelity designs, and collaborate with engineering and product management. Present ideas, gather feedback, and review design proposals in cross-functional teams. The role requires user-centered design, portfolio evidence, interactive design and wireframing skills, product lifecycle experience, and the ability to integrate AI into workflows or problem-solving.
Top Skills:
Artificial IntelligenceInteractive Design ToolsSoftware ApplicationsWeb ApplicationsWireframes
Financial Services
Leads multiple software engineering departments and technical areas within JPMorganChase’s Consumer and Community Banking Technology organization. Establishes enterprise strategies for agentic AI-enabled engineering, SDLC and TLM automation, release governance, test modernization, resilience, and incident response. Manages large technical teams, influences senior stakeholders, drives cross-functional adoption, oversees complex projects, and advances secure, responsible AI and cloud-native engineering practices across the firm.
Top Skills:
Agentic AiAi-Assisted Software DevelopmentAutomated TestingCloud-Native TechnologiesIncident Response AutomationResilience EngineeringSoftware Development Life Cycle (Sdlc)Technology Lifecycle Management (Tlm)
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
