Lead Java Engineer—AWS, AI/ML, Scalable Systems

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City seeks a Lead Software Engineer to design and deliver trusted, scalable technology products within Corporate technology - Instrument Reference Data.

You will work on secure, high-quality production code and guide agile teams across multiple technical areas to achieve firm objectives. You will drive AI-assisted engineering practices, establish validation standards, and promote pattern reuse while focusing on reliability, security, and performance across software

Qualifications

• Formal training or certification on software engineering concepts.
• Experience delivering system design, application development, testing, and operational stability.
• Experience with micro-services architecture, design patterns and technologies Java, Spring boot, Kafka, Hibernate.
• Experience building cloud-native solutions on AWS (compute, networking, storage, security) and deploying containerized services (e.g., ECS).
• Experience with processing of large data volumes and data analysis using SQL/NoSQL
• Experience with CI/CD, infrastructure-as-code, and automation to enable reliable releases and environment consistency
• Experience in authentication/authorization, secrets management, encryption, and secure coding practices
• Experience in Agile methodologies and collaboration across product, data, platform/SRE, and governance stakeholders
• Demonstrated experience leading effective use of approved AI-assisted software development tools (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

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Designs and delivers scalable ML systems (batch and real-time inference), including data/feature pipelines, model training, evaluation, deployment, monitoring, and drift/performance management
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and ML systems (alerts, SLOs, auto-rollbacks, guardrails)
• Leads communities of practice across Software Engineering and AI/ML to drive awareness and use of new and leading-edge technologies (MLOps, LLM patterns, feature stores, observability, model monitoring)

Skills

Java

Spring Boot

Kafka

Hibernate

AWS

CI/CD

AI-assisted Dev

Microservices

Security

Agile

Tools

ECS

Job description

JPMorgan Chase & Co. in Jersey City seeks a Lead Software Engineer to design and deliver trusted, scalable technology products within Corporate technology - Instrument Reference Data.

You will work on secure, high-quality production code and guide agile teams across multiple technical areas to achieve firm objectives. You will drive AI-assisted engineering practices, establish validation standards, and promote pattern reuse while focusing on reliability, security, and performance across software