Senior Lead Software Engineer - Java/Kafka/AWS

JPMorgan Chase; Jersey City (NJ); On-site; USD 140,000 - 200,000; Full time

Job summary

JPMorgan Chase in New Jersey seeks a Senior Lead Software Engineer to drive scalable, secure software delivery using Java, Kafka, and AWS. You will guide AI-assisted tooling adoption, own design decisions, and raise engineering standards within the Digital Utilities team.

You will mentor teams, ensure production-grade code, and collaborate across vendors and internal partners to deliver market-leading technology products with resilience and security at the core.

Qualifications

• 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 in one or more programming language(s) including Java, Springboot, Microservices, API, Kafka, Cassandra, AWS and AI.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment.
• Strong understanding of responsible AI use in engineering workflows and secure handling of data.

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 AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes.
• Applies knowledge of SDLC toolchain and AI-assisted development to improve value realized by automation at scale.
• Drives decisions that influence 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

Spring Boot

Microservices

API

Kafka

Cassandra

AWS

AI

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 - Java/Kafka/AWS at JPMorganChase within the Digital Utilities 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.

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
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) including Java, Springboot, Microservices, API, Kafka, Cassandra, AWS and AI.
• 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

Modern emerging technologies