Lead Software Engineer - Sr. AWS/Java Developer

JPMorgan Chase & Co.; Westerville (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer to shape ATM channel software and operate at scale. You will design, build, and run Java-based services powering customer-facing ATM experiences with a strong emphasis on reliability, security, and AI-assisted development.

You will lead by example through hands-on engineering, strengthen best practices across the team, and collaborate with stakeholders to ensure risk-aware, compliant solutions that meet business goals.

Qualifications

• 5+ years of professional software engineering experience including backend development and production operations.
• Advanced Java expertise with Spring Boot and microservices experience.
• Experience designing, securing, and operating APIs with versioning and performance considerations.
• Strong database skills (relational and NoSQL) with schema design and optimization.
• Experience delivering cloud-native systems with containers, orchestration, CI/CD, and observability.
• Knowledge of secure software development practices and production readiness.
• Excellent communication to explain technical concepts to both engineers and non-engineers.
• Proven problem-solving, structured thinking, and decision-making abilities.
• Ability to manage multiple priorities and drive delivery with follow-through.

Responsibilities

• Lead design and implementation of enterprise-grade services supporting the ATM Channel Product.
• Develop and maintain Java-based services focusing on performance, reliability, and maintainability.
• Design, build, and govern REST and/or event-driven APIs with lifecycle management.
• Build data solutions using relational and NoSQL databases with sound design and performance tuning.
• Implement cloud-native patterns including microservices, containers, orchestration, observability, and automation.
• Drive engineering best practices across development, testing, deployment, and production operations.
• Apply AI-assisted workflows to accelerate delivery while ensuring safety and security.
• Provide hands-on technical guidance, troubleshooting, and leadership across the team.
• Conduct thorough code reviews for secure coding, test coverage, and clean architecture.
• Partner with stakeholders to ensure disciplined delivery aligned with change management and auditability.

Skills

Java backend

API design

Cloud-native

Security best practices

Communication

Problem solving

Education

Bachelor's degree in Computer Science

Tools

Spring Boot

Microservices

Containers

CI/CD

Job description

Join a team where you can shape how modern banking software is built and operated at scale. You will help deliver customer-facing ATM capabilities with strong engineering rigor, thoughtful use of AI-assisted development, and a focus on reliability and security. If you enjoy building cloud-native services and coaching other engineers while staying hands-on, you will find meaningful impact and growth here.

As aLead Software EngineeratJPMorganChasewithinConsumer & Community Banking, you will design, build, and operate software that powers critical ATM channel experiences. You will lead by example through hands-on development, strengthen engineering practices across the team, and partner with stakeholders to ensure work is delivered with appropriate risk management, controls, and compliance built in.

Job responsibilities

• Lead the design and implementation of enterprise-grade services supporting the ATM Channel Product
• Develop and maintain Java-based services with a focus on performance, reliability, and maintainability
• Design, build, and govern APIs (REST and/or event-driven), including documentation, versioning, and lifecycle management
• Build data solutions using relational and/or NoSQL databases, applying sound schema design and performance optimization techniques
• Implement cloud-native patterns including microservices, containers, orchestration, observability, and automation
• Drive engineering best practices across development, testing, deployment, and production operations
• Apply AI-assisted engineering workflows to accelerate delivery while maintaining quality, safety, and security standards
• Provide hands-on technical guidance, troubleshooting support, and decision-making leadership across the team
• Perform thorough code reviews to ensure secure coding, test coverage, clean architecture, and maintainable implementations
• Partner with stakeholders to ensure disciplined delivery aligned with change management, auditability, and access control expectations

Required qualifications, capabilities and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience in professional software engineering, including hands-on backend development and production operations
• Advanced Java expertise and strong command of modern backend engineering practices, and experience working on Java Frameworks (Spring boot, Microservices, API Development, and Design Patterns)
• Demonstrated experience designing, building, securing, and operating APIs, including versioning and performance considerations
• Solid experience with relational and/or NoSQL databases, including schema design, indexing, transactions, and performance tuning
• Proven experience delivering cloud-native systems using containers, orchestration, continuous integration/continuous delivery, and observability
• Strong knowledge of secure software development practices and operational readiness for production services and end to end testing of application
• Strong communication skills, able to explain technical concepts to both engineering and non-engineering partners
• Demonstrated problem-solving skills including structured thinking, root-cause analysis, and pragmatic decision-making
• Ability to manage multiple priorities and drive work to completion with consistent follow-through

Preferred qualifications, capabilities and skills

• Experience building high-availability, low-latency services for high-traffic customer channels
• Experience with event-driven architecture and distributed systems design patterns
• Experience building automated testing strategies (unit, integration, contract, and performance testing)
• Experience coaching engineers on incident response, on-call practices, and operational excellence
• Experience applying AI-assisted tools to improve developer productivity while maintaining strong controls and quality practices