Lead Software Engineer

JPMorgan Chase & Co.•New York, NY

About The Position

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 JPMorganChase within the CONSUMER & COMMUNITY BANKING, 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. You will help shape modern, cloud-based technology that supports how our customers save, spend, and manage their money. You will join a collaborative engineering team where your ideas matter, your growth is supported, and you can push the limits of what’s possible. You will work on products that must be secure, resilient, and built for scale—delivering real impact for customers and the firm. As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Deposits platform, you will be a core technical contributor on an agile team that builds and delivers secure, stable, and scalable software. You will drive solution design and engineering execution across multiple components and services, partner closely with peers and stakeholders, and improve the operational health of the platform through strong engineering practices.

Requirements

Formal training or certification in software engineering concepts and 5+ years of applied experience in software development
Hands-on experience across system design, application development, testing, and operational support/stability
Strong proficiency in Java and Spring-based frameworks (e.g., Spring Boot) in production environments
Experience building event-driven systems and microservices in a cloud environment
Experience with distributed systems and at least one major cloud platform (Amazon Web Services, Google Cloud Platform, or Microsoft Azure)
Experience designing and building RESTful APIs
Working knowledge of relational and NoSQL databases, including data modeling and performance considerations
Hands-on experience with streaming/messaging technologies (e.g., Kafka); familiarity with Spark is a plus where relevant
Experience with dependency injection and modular service design (e.g., using Spring)
Experience containerizing and operating services using Docker and Kubernetes (including Helm)
Experience improving automated testing and integrating tests into CI/CD pipelines

Nice To Haves

Cloud certification and demonstrated experience building and operating cloud-native services
Experience working in financial services or other highly regulated technology environments
Experience leading and mentoring engineers with a focus on delivery quality and operational readiness
Experience designing and implementing CI/CD automation and developer productivity tooling
Experience translating reliability, performance, scalability, and observability needs into engineering designs and measurable outcomes
Track record of identifying and implementing process improvements that increase team efficiency and software quality
Familiarity with modern practices and tools in performance engineering and automation (e.g., load testing, profiling, and monitoring)

Responsibilities

Design and deliver secure, high-quality software solutions that solve complex problems and improve customer and business outcomes
Develop production-grade code and perform thorough code reviews to improve maintainability, reliability, and team standards
Influence architecture and engineering patterns for event-driven, microservices-based systems running in a cloud environment
Lead technical evaluation sessions with internal teams and third parties to assess architectural fit, implementation quality, and risk
Troubleshoot and resolve issues across the software stack, including participating in production support and incident resolution when needed
Improve application stability by identifying recurring defects, conducting root-cause analysis, and driving preventative fixes
Automate remediation and operational tasks where appropriate to reduce toil and improve service resilience
Partner with product and technology stakeholders to translate requirements into scalable, well-defined technical solutions
Contribute to engineering communities of practice by sharing knowledge, establishing reusable patterns, and promoting modern tools and techniques
Promote an inclusive team culture grounded in respect, collaboration, and continuous learning