JPMorgan Chase is seeking a Senior Lead Software Engineer - Java/AWS to join their Corporate & Investment Bank (CIB) Payments team. The role involves enhancing, building, and delivering technology products within an agile environment. Key responsibilities include providing technical guidance, developing and reviewing secure production code, driving the adoption of AI-assisted engineering practices, and influencing product design and technical operations.
The ideal candidate will have formal training or certification in software engineering concepts with 5+ years of applied experience, including system design, application development, testing, and operational stability. Advanced knowledge of Java, microservices, Kafka, AWS cloud, and Postgresql is required, along with demonstrated experience in leading the use of AI-assisted development tools and understanding responsible AI practices. Practical cloud-native experience and the ability to independently solve design and functionality problems are also essential. Experience with banking and AWS Certification are preferred.
competitive total rewards package including base salary, commission-based pay and/or discretionary incentive compensation, comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
Requirements
Requires formal training or certification on software engineering concepts and 5+ years of applied experience. Must have hands-on practical experience in system design, application development, testing, and operational stability. Advanced knowledge in Java, microservices, Kafka, AWS cloud, Postgresql or similar technologies is essential. Demonstrated experience leading the effective use of enterprise-authorized AI-assisted software development tools and a strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations and adherence to resiliency and security expectations are required. Ability to tackle design and functionality problems independently and practical cloud-native experience are also necessary.
Description
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 Senior Lead Software Engineer at JPMorganChase within Corporate & Investment Bank (CIB) Payments, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
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.
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.
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced knowledge in Java, microservices, Kafka, AWS cloud, Postgresql or similar technologies.
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.
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 tackle design and functionality problems independently with little to no oversight
Practical cloud native experience
Preferred qualifications, capabilities, and skills
Experience with Banking
AWS Certification
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.