Senior Lead Software Engineer (Java/AWS) — Alternatives Technology

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City seeks a Senior Lead Software Engineer to drive hands-on Java/Spring Boot development, shape platform modernization, and re-platform critical applications from on-premises to AWS in the Asset & Wealth Management, Alternatives team.

You will lead agile teams, implement distributed integrations with messaging and streaming, uphold secure, observable services, and promote responsible AI-driven engineering practices across the SDLC.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Proven hands-on experience delivering system design, application development, testing, and operational stability in production environments.
• Advanced proficiency in Java (enterprise backend development), with strong practical experience building services using Spring Boot (or equivalent Java frameworks).
• Hands-on experience designing, building, and operating integrations using messaging and/or event streaming services (e.g., Kafka, AWS MSK, SQS/SNS, Kinesis), including reliable delivery patterns, error handling, and observability in production.
• Practical, hands-on cloud-native experience (the team’s target platform is AWS)
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment 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.

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 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

Skills

Java backend expertise

Leadership & mentoring

Problem solving

Tools

Spring Boot

Kafka / AWS MSK

SQS/SNS

Kinesis

AWS cloud

AI-assisted development tools

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 Senior Lead Software Engineer at JPMorganChase within the Asset & Wealth Management, Alternatives Team, 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.

You will be a hands-on Java/Spring Boot tech lead building and modernizing platforms that support alternative investments and the teams that service them. You will help re-platform critical applications from on‑premises to AWS, delivering cloud-native services with strong engineering discipline across system design, development, testing, and operational stability. You will shape distributed integration patterns, including messaging and event streaming, to improve resiliency, scalability, and observability. You will also lead effective use of enterprise-authorized AI-assisted development tools, setting team expectations for validating AI outputs for correctness, performance, and security.

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 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
• Proven hands-on experience delivering system design, application development, testing, and operational stability in production environments
• Advanced proficiency in Java (enterprise backend development), with strong practical experience building services using Spring Boot (or equivalent Java frameworks)
• Hands-on experience designing, building, and operating integrations using messaging and/or event streaming services (e.g., Kafka, AWS MSK, SQS/SNS, Kinesis), including reliable delivery patterns, error handling, and observability in production
• Practical, hands-on cloud-native experience (the team’s target platform is AWS), including building/deploying/operating services in a cloud environment
• 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

Preferred qualifications, capabilities, and skills

• Reactive programming experience (e.g., Reactor) and event-driven / messaging & streaming familiarity
• Financial services / wealth or alternatives domain experience