JP Morgan Chase

Runs a consumer bank and an investment bank

Senior Manager of Software Engineering - Fullstack

Engineering LeadershipConfirmed 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 5+ years of applied experience, including 2+ years leading technologists to manage and solve complex technical items within the domain.
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 using 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 tools 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 the effective use of enterprise-authorized artificial intelligence-assisted software development tools, including validating outputs for correctness, performance, and security.

Responsibilities

Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers working on basic to moderately complex tasks.
Make decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures.
Set and scale operating practices for enterprise-authorized artificial intelligence-assisted engineering and software development life cycle and technology life cycle management automation across multiple teams, with measurable expectations for throughput, defect reduction, and reliability, while ensuring validation, security, resiliency, and reuse of proven patterns.
Drive adoption and governance of approved artificial intelligence-assisted engineering practices across teams, including artificial intelligence-assisted code review and refactoring, test acceleration, release readiness, and incident and root-cause analysis.
Apply knowledge of tools within the software development life cycle toolchain, including enterprise-authorized artificial intelligence-assisted development and automation capabilities, to drive efficiency and support capacity-unlock initiatives across teams.
Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability within existing systems and information architecture.
Ensure successful collaboration across teams and stakeholders.
Identify and mitigate issues to execute a book of work, escalating issues as necessary.
Collaborate with end users and product teams to ensure timely alignment of technical deliverables.
Provide input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team.
Lead communities of practice across software engineering to drive awareness and use of new and leading-edge technologies.

Desired Qualifications

Experience with Agile software development while 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.

When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this.

As a Senior Manager of Software Engineering at JPMorganChase within the Global Finance Technology, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.

Job responsibilities:

Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
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 enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.
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
Ensures successful collaboration across teams and stakeholders
Identifies and mitigates issues to execute a book of work while escalating issues as necessary
Collaborate with end users and product teams to ensure timely alignment of technical deliverables.
Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
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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