Lead Software Engineer - Java, AWS

JPMorgan Chase; Palo Alto (CA); On-site; USD 190,000 - 240,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer in its Corporate Sector to help push the envelope in building trusted market-leading technology products. You will lead agile teams, deliver secure and scalable software, and drive adoption of AI-assisted engineering practices across the SDLC.

The role requires 5+ years of experience, deep knowledge of Java, microservices, Kafka, AWS, and PostgreSQL, and a strong focus on secure, resilient solutions with practical cloud-native experience.

Qualifications

• Formal training or certification on software engineering concepts.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.

Responsibilities

• Provides technical guidance to business and IT teams, contractors, and vendors.
• Develops secure, high-quality production code, and reviews and debugs code written by others.
• Drives adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, with measurable validation standards.
• Applies knowledge of SDLC tooling to improve automation and value realized by automation at scale.
• Drives decisions influencing product design, application functionality, and technical operations.
• Acts as a function-wide subject matter expert in one or more areas of focus.
• Advocates firmwide frameworks, tools, and practices of the Software Development Life Cycle.

Skills

Java

Microservices

Kafka

AWS

PostgreSQL

AI-assisted tools

Secure coding

Education

Software engineering certification

Tools

AI-assisted development tools

Code review automation

Job 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 Lead Software Engineer at JPMorganChase within Corporate Sector, 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.