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 Consumer & Community Banking Deposits platform, 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 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
- Adds to team culture of diversity, opportunity, inclusion, and respect
- Performs heavy coding utilizing Java, Spring, Microservices/RESTful API, relational databases and Cloud services
- Leads Agile team of 6 as an active developer and contributor by solving and implementing difficult technology challenges for successful team delivery
- Expand unit testing automation suite capabilities by integrating tests into CI/CD pipeline; ensuring 100% documentation & unit testing of all code delivered
- 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
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years of applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- 8+ years hands on experience using Java, Spring based technologies and event based microservices in a Cloud environment (AWS, GCP, Azure, etc.)
- Strong experience with micro services/RESTful API, relational/NoSQL databases, data modeling and data ingestion frameworks
- Hands-on experience with data streaming and messaging frameworks (Kafka, Spark, etc.)
- Understanding of containers (Dockers, Kubernetes, Helm, etc.)
- Influencing & stakeholder management: Aligns roadmaps; secures cross‑functional buy‑in with data and clear trade‑offs
- Executive communication: Frames complex tech and risk as business impact with clear options
- Mentoring: Coaches engineers; builds quality, psychological safety, and continuous improvement
- 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
Preferred qualifications, capabilities, and skills
- AWS certification.
- In-depth knowledge of the financial services industry and their IT systems
- Design and implement robust automation frameworks and tools to support continuous integration and delivery
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions
- Identify opportunities for process improvements and implement changes to enhance efficiency and effectiveness
- Stay updated with the latest industry trends and technologies in performance testing and automation
- Track record leading modernization programs (e.g., monolith-to-microservices or cloud migrations) in regulated environments