Sr. Lead Software Engineer - Java/Full Stack

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products that are secure, stable, and scalable. As a key technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve 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 - Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. - Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. - Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems - Leads evaluation sessions with stakeholders 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 - Evolve and apply AI in software development and automation.

- Formal training or certification on software engineering concepts and 5+ years applied experience - 8+ years of experience in full stack engineering - 2+ years of exposure to AI coding tools - Experience in the Software Development Life Cycle, including hands-on development experience - Hands-on experience in Java/J2EE, REST Services, Spring boot - Strong experience writing complex SQL queries, joins, PL/SQL, functions, and stored procedures. - Hands-on experience in public cloud - Kubernetes, AWS and extensive experience with ECS, S3, RDS, Lambda, CloudWatch, Eventbridge, and Step Functions, as well as infrastructure automation using Terraform - Proficiency in designing and implementing RESTful APIs for enterprise-scale applications. - Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls. - Ability to design software systems using object-oriented principles and practices. - Experience in building Decoupled Systems.

Proficiency in using design patterns and technologies to decouple system components, enhancing flexibility and maintainability. - Proficiency in unit testing frameworks such as JUnit and Mockito for ensuring code quality

- Exposure to Java, Spring Batch, Spring Boot, microservices patterns, and REST API development - Experience with CI/CD tools such as Jenkins, Spinnaker, GitHub Actions or GitLab CI - Familiarity with modern front-end technologies like React JS, JavaScript, typescript. - Experience with SQL performance tuning, JDBC, and ORM frameworks (Hibernate/JPA) - Knowledge and experience building micro services, as well as exposure to container platforms like ECS, Kubernetes, AWS - Exposure to AI systems such as Copilot, Claude