JP Morgan Chase

Runs a consumer bank and an investment bank

Senior Lead Software Engineer - Java / Python

Backend EngineeringConfirmed live in the last 24 hours

Full-timePlano, TX, USANo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 5 years of applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Deep expertise designing, developing, and modernizing large-scale enterprise applications, with a focus on scalability, resiliency, security, performance, and maintainability.
Strong hands-on development experience across multiple programming languages, including Java and Python, and ability to rapidly learn, evaluate, and adopt emerging technologies.
Expertise in modern software architecture, including microservices, distributed systems, API-first design, event-driven architecture, cloud-native development, domain-driven design, and enterprise integration patterns.
Strong understanding and practical experience with AI-driven software engineering, including AI-assisted development tools, generative AI applications, AI agents, agentic AI frameworks, prompt engineering, and Model Context Protocol-based integrations and development.
Ability to establish and drive engineering best practices, including secure software development life cycle, architecture governance, continuous integration and continuous delivery, automated testing, observability, code quality standards, and responsible adoption of AI technologies with appropriate validation, security, and governance controls.
Experience leading effective use of enterprise-authorized AI-assisted software development tools in the work environment, such as for coding, code review, test acceleration, and troubleshooting, and ability to set expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching senior engineers and leads on compliant usage patterns and controls.

Responsibilities

Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors.
Develop secure, high-quality production code and review and debug code written by others.
Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, including AI-assisted code review and refactoring, test acceleration, release readiness, and incident and root-cause analysis; establish measurable validation standards for secure coding, peer review, and automated testing; and promote reuse of proven patterns and automation within the software development life cycle and technology life cycle management toolchain.
Apply 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.
Drive decisions that influence product design, application functionality, and technical operations and processes.
Serve as a function-wide subject matter expert in one or more areas of focus.
Actively contribute to the engineering community as an advocate for firmwide frameworks, tools, and software development life cycle practices.

Desired Qualifications

Experience building modern user-interface and full-stack applications using React, Node.js, responsive design principles, and reusable component-based architectures.
Experience with cloud platforms and services, particularly AWS services including EKS, EC2, S3, Lambda, and IAM; Kubernetes; containers; and cloud-native engineering practices.
Experience designing and implementing AI-powered solutions, agent orchestration frameworks, Model Context Protocol-enabled integrations, retrieval-augmented generation architectures, and enterprise-scale automation platforms.
Interest in continuous learning, technology modernization, mentoring engineers, and driving innovation through AI-enabled engineering practices.

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 Corporate Sector - Infrastructure 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. 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

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and 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.
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

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
Deep expertise in designing, developing, and modernizing large-scale enterprise applications with a strong focus on scalability, resiliency, security, performance, and maintainability.
Strong hands-on development experience across multiple programming languages, including Java and Python, with the ability to rapidly learn, evaluate, and adopt emerging technologies.
Proven expertise in modern software architecture, including microservices, distributed systems, API-first design, event-driven architecture, cloud-native development, domain-driven design, and enterprise integration patterns.
Strong understanding and practical experience with AI-driven software engineering, including AI-assisted development tools, GenAI applications, AI agents, Agentic AI frameworks, prompt engineering, and Model Context Protocol (MCP) based integrations and development.
Ability to establish and drive engineering best practices including secure SDLC, architecture governance, CI/CD, automated testing, observability, code quality standards, and responsible adoption of AI technologies with appropriate validation, security, and governance controls.
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.
Preferred qualifications, capabilities, and skills
Experience building modern UI and full-stack applications using React, Node.js, responsive design principles, and reusable component-based architectures.
Experience with cloud platforms and services, particularly AWS (EKS, EC2, S3, Lambda, IAM), Kubernetes, containers, and cloud-native engineering practices.
Experience designing and implementing AI-powered solutions, agent orchestration frameworks, MCP-enabled integrations, RAG architectures, and enterprise-scale automation platforms.
Passion for continuous learning, technology modernization, mentoring engineers, and driving innovation through AI-enabled engineering practices.

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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