AI Java AWS Lead Software Engineering

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 130,000 - 210,000; Full time

Job summary

JPMorganChase seeks a Lead Software Engineer to drive secure, cloud-native development with Java, Spring Boot, and AWS across scalable architectures. You will lead design discussions, mentor engineers, and enforce secure coding and AI-assisted practices to accelerate delivery.

You will work within the Consumer & Community Banking Trust and Security Team to deliver trusted technology products while maintaining high availability and resilience in cloud environments.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Strong experience with Java and Spring Boot (8+ years).
• Demonstrated experience leading AI-assisted software development tools with ability to set team expectations for validating AI outputs.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
• Experience designing and building RESTful APIs, microservices, and distributed backend services.
• Practical experience developing, deploying, or supporting applications using AWS cloud technologies.
• Experience with Kafka or similar event-streaming platforms.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Experience developing secure production code, performing code reviews, and improving engineering standards.
• Strong troubleshooting and problem-solving skills with experience improving production stability.

Responsibilities

• Design, develop, test, deploy, and support secure, scalable, and resilient software solutions using Java, Spring Boot, AWS, and Kafka.
• Build and maintain RESTful APIs, microservices, backend services, and event-driven integrations.
• Develop secure, high-quality production code and review, debug, and improve code written by others.
• Drive adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operations while establishing validation standards.
• Apply SDLC tools to improve automation and value realization.
• Lead technical design discussions and contribute to architecture decisions for highly available applications.
• Troubleshoot complex technical issues across applications, cloud infrastructure, and integrations.
• Identify opportunities to automate recurring issues to improve stability.
• Promote engineering best practices including CI/CD, testing, observability, resiliency, security, and production readiness.
• Partner with product owners and stakeholders to deliver solutions aligned to business priorities and control requirements.
• Mentor engineers and foster a culture of diversity, opportunity, inclusion, and respect.

Skills

Java

Spring Boot

AWS

Kafka

RESTful APIs

CI/CD

Agile

Secure coding

AI-assisted development

Mentoring

Tools

Kubernetes

CI/CD pipelines

Job description

Make a difference bringing hands-on leadership in building secure, cloud-native for our customers.

As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Trust and Security Team, youare 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Design, develop, test, deploy, and support secure, scalable, and resilient software solutions using Java, Spring Boot, AWS cloud technologies, and Kafka
• Build and maintain RESTful APIs, microservices, backend services, and event-driven integrations
• Develop secure, high-quality production code and review, debug, and improve 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.
• Lead technical design discussions and contribute to architecture decisions for highly available and maintainable applications
• Troubleshoot complex technical issues across applications, cloud infrastructure, eventing platforms, and integrations
• Identify opportunities to eliminate, automate, or reduce recurring issues to improve operational stability
• Drive engineering best practices, including CI/CD, automated testing, observability, resiliency, secure coding, and production readiness
• Partner with product owners, architects, engineering teams, and stakeholders to deliver solutions aligned to business priorities and control requirements
• Mentor engineers and contribute to a culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Strong experience with Java and Spring Boot (8 plus years)
• 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; experience coaching engineers on safe, compliant adoption within delivery practices
• Experience designing and building RESTful APIs, microservices, and distributed backend services.
• Practical experience developing, deploying, or supporting applications using AWS cloud technologies
• Experience with Kafka or similar event-streaming platforms
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience developing secure production code, performing code reviews, and improving engineering standards.
• Strong troubleshooting and problem-solving skills with experience improving production stability.

Preferred qualifications, capabilities, and skills

• Expertise with modern middleware services technologies
• Experience with containerized application delivery and Kubernetes-based platforms
• Experience with Kafka-based event-driven architecture, messaging platforms, or streaming technologies
• Experience with infrastructure-as-code or cloud deployment automation
• Experience with performance tuning, resiliency testing, monitoring, logging, and alerting
• Experience working in highly controlled or regulated technology environments
• Experience with security, identity, access, fraud, trust, risk, or customer protection platforms