As a Senior Lead Software Engineer at JPMorganChase within the Commercial & Investment Technology in Cash Prime Technology, 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
Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Drive the delivery of business value via change programs, projects within the technology group
Create automated unit tests using a Test Driven Development approach
Develop a strong understanding of key functions of clearing and settlements within Cash Prime business
Partner with supporting tech leads to develop realistic and achievable project estimates.
Analyze and build within Control, Stability, Resiliency, Capacity & Performance areas.
Perform testing: Unit, SIT & UAT planning and management.
Doing robust delivery of code into the production environment with zero tolerance for post implementation issues
Take part in decisions affecting long range organizational goals & strategic planning. Proactively look to develop, implement and further development best practices and contribute to quality improvement, code reviews, code and architecture standards, code reuse etc.
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
Required qualifications, capabilities, and skills
Formal degree or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Strong core Java experience with clear understanding of advanced concepts in collection framework, garbage collection, multi-threading etc.
Hands on experience in Java\J2EE, Spring Boot, Database knowledge, Kafka, React JS, CI\CD, designing features, AWS cloud experience
Strong problem solving, analytical and communication skills to take on difficult and complex large scale problems and provide end to end solutions
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Solid understanding of agile methodologies such as CI/CD, DevOps, Applicant Resiliency, and Security, Kubernetes
Ability to build and maintain strong relationships with stakeholders in business, operations, operate etc.
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.
Preferred qualifications, capabilities, and skills
Prior Markets Technology Experience
Designing & developing micro-front end based micro-services.
Expert in Kubernetes platform
Expert in DevOps methodology