Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, Payment Services 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

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
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Requires 50% of the time being hands on performing code reviews or developing new code
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
Provides guidance to immediate team of software engineers on daily tasks and activities
Sets the overall guidance and expectations for team output, practices, and collaboration
Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
Manage and grow the careers of software engineers

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience.
Must have development experience in Java, Spring / SpringBoot Framework and Microservices
Hands-on practical experience delivering system design, application development, testing, and operational stability
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
Experience leading and managing software engineering teams, with a focus on individual growth and overall team performance.
Proficient 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 and Practical cloud native experience
In-depth knowledge of the financial services industry and their IT systems
Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
Very good understanding of software engineering principles, design patterns, and best practices.
Hands on experience working with high throughput, low latency distributed systems ensuring efficient communication and integration between different systems.
Proven record of providing end-user support with excellent problem-solving abilities.

Preferred qualifications, capabilities, and skills

Practical cloud native experience
Practical Cockroach & Cassandra experience
Reactive programming

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

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
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Requires 50% of the time being hands on performing code reviews or developing new code
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
Provides guidance to immediate team of software engineers on daily tasks and activities
Sets the overall guidance and expectations for team output, practices, and collaboration
Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
Manage and grow the careers of software engineers

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience.
Must have development experience in Java, Spring / SpringBoot Framework and Microservices
Hands-on practical experience delivering system design, application development, testing, and operational stability
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
Experience leading and managing software engineering teams, with a focus on individual growth and overall team performance.
Proficient 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 and Practical cloud native experience
In-depth knowledge of the financial services industry and their IT systems
Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
Very good understanding of software engineering principles, design patterns, and best practices.
Hands on experience working with high throughput, low latency distributed systems ensuring efficient communication and integration between different systems.
Proven record of providing end-user support with excellent problem-solving abilities.

Preferred qualifications, capabilities, and skills

Practical cloud native experience
Practical Cockroach & Cassandra experience
Reactive programming