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# Sr. Lead Software Engineer - Java, Automation, AWS

- **Company:** JPMorgan Chase & Co.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $171,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Automation of Tests, Software as a Service, Cloud Computing, Cloud Engineering, Software Quality, Code Review, Computer Programming, Continuous Delivery, Platform as a Service (PAAS), Secure Coding, Software Engineering, Software Systems, Strategies of Testing, Toolchain, Google Cloud, Spring-boot, Production Code, Api Design, Restful APIs, Code Restructuring
- **Published:** July 10, 2026
- **Apply:** https://www.juju.com/job/00000000gff8d3

## About the Role

+ 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 programming skills in **Java and Spring Boot**

 + Proficiency in automation and continuous delivery methods

 + **Practical cloud native experience**

 + Hands on experience leading technologists to manage, anticipate and solve complex technical software engineering problems

 + Experience with Cloud technologies ( **AWS, Google Cloud** )

 + Advanced knowledge of **architecture** & **application design** processes

 + Strong coding fundamentals - **Algorithms & Data Structures**

 + Experience with building **APIs - RESTful APIs, Spring Boot**

Preferred qualifications, capabilities, and skills

 + Experience building **SaaS, PaaS** **platforms** , tools & services for engineers.

 + Experience working in a fast-paced Agile environment. Passion for automating & excelling at identifying gaps in processes.

 + Demonstrated experience influencing across highly matrixed, complex organizations.

 + Ability to deconstruct & communicate complex or abstract technology concepts in a clear way to non-technical stakeholders.

## Description

As a Lead Software Engineer at JPMorganChase within the Consumer & Community Bank - Consumer Card Technology 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., + 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

 + 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

 + Develops & executes on technical strategy to drive value for Chase credit card strategic partners

 + Encourages leadership, design thinking and an API-first mindset

 + Partners and collaborates with cross functional teams across product, engineering & architecture to develop smart, scalable solutions for partners and customers. Champions the firm's culture of opportunity, inclusion, and respect

 + Takes ownership of team and problem solves proactively think long-term

 + 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.


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