Lead Software Engineer - Java/Cloud Engineer

JP Morgan Chase; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

JPMorganChase in New York seeks a Lead Software Engineer to advance trusted, scalable technology across the Consumer and Community Banking tech stack. You will lead core technical work, drive AI-assisted engineering practices, and collaborate across teams to deliver secure, production-grade software.

You will champion secure coding, design reviews, automation, and resilient architectures while mentoring engineers in modern SDLC practices and enterprise tooling.

Qualifications

• Formal training or certification in software engineering with 5+ years experience.
• Experience delivering system design, application development, testing, and stability.
• Strong Java programming skills and cloud experience.
• Experience with monitoring/tracing tools and platforms.
• Familiarity with AI-assisted development tools and secure AI usage.
• Solid understanding of CI/CD, resilience, and security in SDLC.
• Experience with SQL and NoSQL databases.

Responsibilities

• Executes creative software solutions, design, development, and debugging.
• Develops secure, high-quality production code and reviews others' code.
• Drives adoption of AI-assisted engineering practices to improve quality and speed.
• Applies SDLC toolchain knowledge to improve automation value.
• Identifies opportunities to automate remediation for stability.
• Leads evaluation sessions with vendors and teams on architecture and applicability.

Skills

Java

Cloud technologies

AI-assisted tools

Spring Framework

SQL/NoSQL

Code review

CI/CD

Security

Agile methodologies

Tools

Splunk

Dynatrace

Postman

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking's technology 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. 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

• 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

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) - Java
• Hands-on experience with cloud technologies
• Experience with monitoring and tracing tools (e.g. Splunk, Dynatrace, Postman, etc.)
• Proficient in coding in one or more frameworks(s) (e.g., Spring, Java)
• Demonstrated experience with database technologies including SQL and NoSQL
• 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
• Proficient in all aspects of the Software Development Life Cycle and advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Familiarity with Kubernetes
• Knowledge of AI tools (e.g., Agent, and Agentic)
• Cloud certifications