Senior Lead Software Engineer - Java, Prime Financial Services Technology

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 170,000 - 230,000; Full time

Job summary

JPMorganChase's Cash Prime Technology team in New Jersey seeks a Senior Lead Software Engineer to design, develop, and deliver scalable market-leading technology products in a secure and stable environment.

You will drive technical solutions across multiple domains, contribute to AI-assisted engineering practices, and ensure quality through testing and code reviews while collaborating in an agile setup.

Qualifications

• 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 understanding of collection framework, garbage collection, multi-threading.
• Hands-on experience in Java/J2EE, Spring Boot, Database knowledge, Kafka, React JS, CI/CD, AWS cloud experience.
• Solid understanding of agile methodologies such as CI/CD, resiliency, and security.
• Ability to take on complex large scale problems and provide end-to-end solutions.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting with ability to think beyond routine approaches.
• Designs, develops, codes, and troubleshoots with consideration of upstream/downstream systems and technical implications.
• Drive delivery of business value via change programs and projects within the technology group.
• Create automated unit tests using a Test Driven Development approach.
• Develop understanding of clearing and settlements within Cash Prime business.
• Partner with supporting tech leads to develop realistic project estimates.
• Analyze and build within Control, Stability, Resiliency, Capacity & Performance areas.
• Perform testing: Unit, SIT & UAT planning and management.
• Delivery of code into production with emphasis on reliability and post-implementation quality.
• Contribute to long-range goals and best practices, code reviews, and standardization.
• Promote adoption of enterprise AI-assisted engineering practices and establish validation standards.
• Apply SDLC tools including AI-assisted development and automation capabilities.

Skills

Java

J2EE

Spring Boot

React JS

Kafka

CI/CD

AWS

Kubernetes

Agile methodologies

Analytical communication

Education

Software engineering degree or related certification

Tools

Jenkins

Git

Docker

Kubernetes tools

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Senior Lead Software Engineer at JPMorganChase within theCommercial & Investment Technology in Cash Prime Technology, youare 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 (both verbal and written)
• 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, Applicant Resiliency, and Security
• Ability to take on difficult and complex large scale problems and provide end to end solutions.
• 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.
• Designing & developing micro-front end based micro-services.
• Exposure to Kubernetes platform
• Exposure to DevOps methodology

Preferred qualifications, capabilities, and skills

• Designing & developing micro-front end based micro-services.
• Exposure to Kubernetes platform
• Exposure to DevOps methodology