Senior Lead Software Engineer - Java, Prime Financial Services Technology

JPMorganChase

Chicago (IL)

On-site

USD 152,000 - 225,000

Full time

6 days ago
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Job summary

JPMorganChase in Chicago, IL is seeking a Senior Lead Software Engineer - Java to join Prime Financial Services Technology. You will be a core technical contributor in an agile team delivering market-leading technology in a secure, scalable way.

The role emphasizes design, development, testing, and governance of AI-assisted engineering practices, with responsibilities across Kubernetes, CI/CD, AWS, and enterprise-grade software.

Qualifications

  • Formal software engineering degree or cert with 5+ years of experience.
  • Hands-on system design, development, testing, and stability.
  • Strong Java experience: Java/J2EE, Spring Boot, AWS, Kafka.
  • Experience with CI/CD, DevOps, Kubernetes, and React.
  • Excellent problem solving and communication skills.
  • Experience in enterprise environments and large-scale codebases.

Responsibilities

  • Executes creative software solutions and designs robust problem-solving approaches.
  • Designs, develops, codes, and troubleshoots with regard to upstream/downstream systems.
  • Create automated unit tests using Test Driven Development.
  • Develop understanding of clearing and settlements within Cash Prime.
  • Partner with tech leads to produce realistic project estimates.
  • Analyze and improve control, stability, resiliency, capacity and performance.
  • Perform testing: Unit, SIT & UAT planning and management.
  • Deliver code to production with zero post-implementation issues.
  • Contribute to long-term goals and best practices, code reviews and standards.
  • Promote AI-assisted engineering practices and measurable validation standards.
  • Leverage SDLC/TLM toolchain and automation for value.

Skills

Java
Spring Boot
CI/CD
AWS
React JS
Kubernetes
Microservices
Databases
DevOps
Team leadership

Education

Software engineering degree or certification

Tools

Kafka
CI/CD tools
AWS
Kubernetes

Job description

Senior Lead Software Engineer - Java, Prime Financial Services Technology

Chicago, IL, United States

Base Pay/Salary: Chicago,IL $152,000.00-$225,000.00

Job Schedule: Full time

Location: 10 S Dearborn St, Chicago, IL, 60603, US

Job Description

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
  • Designing & developing micro-front end based micro-services.
  • Expert in Kubernetes platform
  • Expert in DevOps methodology
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