JP Morgan Chase

Runs a consumer bank and an investment bank

Senior Lead Software Engineer - Fullstack

Full-Stack EngineeringConfirmed live in the last 24 hours

Full-timePlano, TX, USANo salary listedIn-person

About the Job

Requirements

Formal training or certification on software engineering concepts and at least 5 years of applied experience, including at least 2 years leading technologists to manage and solve complex technical items within the domain.
At least 10 years of experience building enterprise-grade software products.
Expertise in Java, Spring Core, Spring Boot, REST APIs, JPA or Python and a relevant microservices framework.
Expertise in JavaScript, TypeScript, React, and a popular user-interface test framework.
Proficiency in object-oriented design and test-driven development, with hands-on experience in test automation frameworks such as JUnit, Mockito, Playwright, and Cucumber.
Strong understanding of security standards such as OAuth, TLS, and Kerberos.
Familiarity with log and metric collection and monitoring technologies such as the ELK stack, Prometheus, Grafana, AppDynamics, and Splunk.
Proficiency using agentic artificial-intelligence coding assistance such as Copilot, Claude, Windsurf, and Gemini.
Experience with event-driven processing using Kafka and other Advanced Message Queuing Protocol frameworks.
Hands-on experience building continuous integration and continuous delivery pipelines using Git, Maven, Jenkins, SonarQube, and Fortify.
Demonstrated experience leading effective use of enterprise-authorized artificial-intelligence-assisted software development tools for coding, code review, test acceleration, and troubleshooting, with the ability to set team expectations for validating outputs for correctness, performance, and security.

Responsibilities

Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors.
Develop secure and high-quality production code, and review and debug code written by others.
Drive adoption and governance of approved artificial-intelligence-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards for secure coding, peer review, and automated testing and promoting reuse of proven patterns and automation within the software development life cycle and technology life cycle toolchain.
Apply knowledge of tools within the software development life cycle toolchain, including approved artificial-intelligence-assisted development and automation capabilities, to improve the value realized by automation at scale.
Coach and develop a high-performing team both locally and remotely.
Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
Collaborate with end users and product teams to ensure timely alignment of technical deliverables.
Escalate project delivery risks to senior stakeholders across technology, product, and business, along with a mitigation plan.
Lead communities of practice across software engineering to drive awareness and use of new and leading-edge technologies.

Desired Qualifications

Agile software development experience adhering to a product operating model.
Experience building enterprise solutions focused on data analytics.
Experience in finance reporting.
Experience building cloud-native web applications.
Exposure to NoSQL databases such as Cassandra.
Experience with large language model-based implementations.
Knowledge of domain-driven design, microservices patterns, and modern architectures.

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 Global Finance Technology, 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.
Coach and develop a high-performing team both locally and remotely
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
Collaborate with end users and product teams to ensure timely alignment of technical deliverables.
Escalate project delivery risks to senior stakeholders across technology, product, and business, along with a mitigation plan.
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Required qualifications, capabilities, and skills:

Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
10+ Years of building enterprise grade software products
Expertise in Java, Spring Core, Spring Boot, REST APIs, JPA (OR) Python and relevant microservices framework.
Expertise in JavaScript, Typescript, React and popular test framework for UI
Proficiency in Object-Oriented Design (OOD) and Test Driven Development (TTD), with hands-on experience in test automation frameworks like Junit, Mockito, Playwright and Cucumber.
Strong understanding of security standards such as OAuth, TLS, and Kerberos.
Familiarity with log/metric collection and monitoring technologies like ELK stack, Prometheus, Grafana, AppDynamics, and Splunk.
Proficiency in using Agentic AI Coding assistance such as Copilot, Claude, Windsurf, Gemini.
Experience with event-driven processing using Kafka, and other AMQP framework.
Hands-on experience with building CI/CD pipelines using Git, Maven, Jenkins, SonarQube, and Fortify.
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

Preferred qualifications, capabilities, and skills:

Agile software development experience adhering to a product operating model.
Experience in building enterprise solution focused on Data Analytics will be beneficial
Experience in Finance Reporting will be beneficial
Experience in building cloud-native web applications.
Exposure to NoSQL databases such as Cassandra
Experience in LLM based implementations will be beneficial
Knowledge of Domain Driven Design, microservices patterns, and modern architectures.

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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