AI-Powered Java Lead Engineer AWS Cloud

JPMorgan Chase & Co.; Westerville (OH); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase in Columbus, OH is seeking a Lead Software Engineer to lead Java-based microservices and backend APIs with a focus on secure-by-default patterns, scalability, and observability. You will drive AI-assisted engineering practices, oversee end-to-end DevOps, and mentor teams across the SDLC.

The ideal candidate brings 5+ years in software engineering, strong Java experience, and a deep understanding of CI/CD, security, and financial services IT.

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
• Demonstrated experience leading effective use of approved AI-assisted software development tools 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 engineers on safe, compliant adoption within delivery practices
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
• Strong hands-on experience building and supporting Java services and APIs REST/OpenAPI and familiarity with observability stacks (e.g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry), including performance tuning, debugging, and production support in distributed systems
• Practical experience with data and messaging platforms such as Cassandra (data modeling, reliability, operational patterns) and Kafka (producer/consumer patterns, delivery semantics, and monitoring)
• Proven experience delivering and operating applications in Private Cloud (GAIA) and/or AWS hosting, including secure configuration, resilience patterns, and operational readiness for production

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect
• Owns end-to-end DevOps execution for the team’s SDLC, including Jenkins and Spinnaker pipelines, release practices, environment promotion strategy, and automated quality gates.
• Defines and enforces comprehensive testing strategy across the stack (unit, contract, component, functional, performance, and resilience testing), including consistent test data/environment approaches and measurable coverage/quality outcomes.
• Leads design and implementation of Java-based microservices and back-end APIs (REST/event-driven), ensuring scalability, resiliency, and secure-by-default patterns across services

Skills

Software design

Java development

CI/CD

AI-assisted tools

Agile methodologies

Security & resiliency

Observability

Distributed systems

Education

Software engineering certification

Tools

Jenkins

Spinnaker

OpenTelemetry

Prometheus

Grafana

Splunk

CloudWatch

Kafka

Cassandra

GAIA

AWS

Job description

JPMorganChase in Columbus, OH is seeking a Lead Software Engineer to lead Java-based microservices and backend APIs with a focus on secure-by-default patterns, scalability, and observability. You will drive AI-assisted engineering practices, oversee end-to-end DevOps, and mentor teams across the SDLC.

The ideal candidate brings 5+ years in software engineering, strong Java experience, and a deep understanding of CI/CD, security, and financial services IT.