Lead Software Engineer- Java/python

JPMorgan Chase · Banking · OH · Consumer & Community Banking

Lead Software Engineer role at JPMorgan Chase focused on building and enhancing market-leading technology products within the Consumer & Community Banking division. The role involves executing software solutions, designing, developing, and troubleshooting, with a focus on secure, high-quality production code. Responsibilities include identifying automation opportunities, leading vendor evaluations, driving awareness of new technologies, and participating in code reviews. Requires advanced proficiency in Java, Kafka, Springboot, microservices, and a strong understanding of SDLC, agile methodologies, and cloud-native practices. While AI/ML is mentioned as a potential technical discipline, it is not the core focus of the role.

What you'd actually do

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
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

Skills

Required

Formal training or certification in software engineering concepts and 5+ years of applied experience
Advanced proficiency in Java, Kafka, Springboot and microservices architecture.
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s)
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
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Understanding of Data Systems and Database Systems
Practical cloud native experience
Ability to mentor junior engineers and support team development

Nice to have

Understanding of AI, LLMs and AI Agents
Experience with CI/CD pipelines and automated testing
Background in building distributed systems for large-scale applications

Read full 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 Consumer & Community Banking, 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 break down technical problems
Develops secure high-quality production code, and reviews and debugs code written by others
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
Document workflows, system architecture, and best practices for data processing
Participate in code reviews and provide constructive feedback

Required qualifications, capabilities, and skills

Formal training or certification in software engineering concepts and 5+ years of applied experience
Advanced proficiency in Java, Kafka, Springboot and microservices architecture.
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s)
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
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Understanding of Data Systems and Database Systems
Practical cloud native experience
Ability to mentor junior engineers and support team development

Preferred Qualifications, capabilities, and skills

Understanding of AI, LLMs and AI Agents
Experience with CI/CD pipelines and automated testing
Background in building distributed systems for large-scale applications

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

Job 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
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
Document workflows, system architecture, and best practices for data processing
Participate in code reviews and provide constructive feedback

Required qualifications, capabilities, and skills

Formal training or certification in software engineering concepts and 5+ years of applied experience
Advanced proficiency in Java, Kafka, Springboot and microservices architecture.
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s)
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
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Understanding of Data Systems and Database Systems
Practical cloud native experience
Ability to mentor junior engineers and support team development

Preferred Qualifications, capabilities, and skills

Understanding of AI, LLMs and AI Agents
Experience with CI/CD pipelines and automated testing
Background in building distributed systems for large-scale applications