Lead Software Engineer - Analytics & Feedback Platforms

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 130,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Columbus seeks a Lead Software Engineer to advance trusted, market-leading technology products within Employee Platforms. You will design, develop, and deliver secure software across multiple technical areas in support of the firm’s objectives.

You will drive AI-assisted engineering practices, ensure secure coding standards, and collaborate with teams to optimize architecture and delivery in a scalable environment.

Qualifications

• 5+ years of experience designing, developing, and delivering enterprise software solutions.
• Hands-on system design, development, testing, deployment, and support of scalable applications.
• Advanced proficiency in Java/JEE/Spring/Spring Boot and secure coding practices.
• Experience using AI-assisted software development tools and ensuring quality, security, and performance.
• Strong understanding of Responsible AI practices in engineering workflows.
• Proficient in SDLC phases, including requirements, design, development, testing, deployment, and monitoring.

Responsibilities

• Executes creative software solutions and collaborates to solve complex problems beyond routine approaches.
• Develops secure, high-quality production code and reviews code written by others.
• Leads adoption of AI-assisted engineering practices to improve quality, speed, and reliability.
• Applies SDLC tools and automation to improve value and consistency.
• Identifies opportunities to automate recurring issues for better stability.
• Leads evaluation of architectural designs with internal teams and external vendors.

Skills

Java/JEE/Spring/Spring Boot

REST APIs

Kafka

JUnit

BDD

AI-assisted development tools

SDLC

Agile methodologies

Cloud-native, microservices

Security practices

Tools

CI/CD pipelines

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 Employee Platforms, 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, certification, or equivalent experience in Software Engineering with 5+ years of applied experience designing, developing, and delivering enterprise software solutions.
• Hands-on experience in system design, application development, testing, deployment, and operational support of scalable and resilient applications.
• Advanced proficiency in one or more programming languages, with demonstrated ability to develop high-quality, maintainable, and secure code.
• Demonstrated experience using AI-assisted software development tools to improve engineering efficiency, including code generation, code reviews, testing, troubleshooting, and documentation, while ensuring output quality, security, and performance standards.
• Strong understanding of Responsible AI practices within engineering workflows, including data sensitivity, secure handling of inputs and outputs, compliance with enterprise standards, and coaching team members on safe AI adoption.
• Proficient in all phases of the Software Development Life Cycle (SDLC), including requirements analysis, design, development, testing, deployment, monitoring, and support.
• Advanced understanding of Agile software development methodologies, CI/CD pipelines, application resiliency, observability, and security best practices.
• Experience developing and supporting technology solutions within the financial services industry or other highly regulated environments.
• Hands-on experience building and deploying cloud-native applications, leveraging modern cloud platforms, microservices, and distributed architectures.
• Strong server-side development experience with Java, JEE, Spring, Spring Boot, REST APIs, Kafka, JUnit, integration testing, and Behavior-Driven Development (BDD) practices.
• Proven programming and coding expertise with a passion for delivering high-quality, scalable, secure, and production-ready applications that drive business value.

Preferred qualifications, capabilities, and skills

• Strong analytical and problem-solving skills, with the ability to evaluate multiple solution options and make sound technical decisions with limited oversight.
• Working knowledge of financial services technology environments, controls, compliance expectations, and regulatory considerations.
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field, or equivalent practical experience.