JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineering - Python

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeJersey City, NJ, USA$156.8k - $215k /yrIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 5 years of hands-on experience in software engineering, including system design, application development, testing, and operational support.
Proficiency in back-end technologies such as Python, Flask, and Django, with experience building microservices-based applications.
For full-stack roles, proficiency in front-end technologies such as HTML, CSS, JavaScript, TypeScript, React, and Angular.
Hands-on development experience with Java and Spring or Spring Boot for building and supporting services.
Experience with cloud platforms such as Amazon Web Services, Azure, or Google Cloud Platform; distributed systems; and web technologies including RESTful APIs, web services, WebSockets, and JSON.
Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
Experience with agile development methodologies such as Scrum and an understanding of the software development life cycle.
Advanced understanding of continuous integration and continuous delivery, application resiliency, and security.
Demonstrated proficiency in software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobile technology.
Demonstrated experience leading the effective use of enterprise-authorized artificial-intelligence-assisted software development tools for coding, code review, test acceleration, and troubleshooting, including validating outputs for correctness, performance, and security.
Strong understanding of responsible artificial intelligence 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 artificial-intelligence-assisted usage patterns and controls.

Responsibilities

Execute creative software solutions, design, development, and technical troubleshooting to build solutions and break down technical problems.
Deliver end-to-end cloud-native, microservices-based applications using current technologies and industry best practices.
Use domain modeling techniques to build business products and structure software for clarity, testability, and evolution.
Develop secure, high-quality production code and review and debug code written by others.
Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems.
Lead communities of practice across Software Engineering to drive awareness and adoption of new and emerging technologies.
Design and build solutions that avoid single points of failure using scalable architectural patterns.
Design and build scalable, secure, and reliable solutions that support zero-downtime releases and optimize data performance.
Drive adoption and governance of approved artificial-intelligence-assisted engineering practices across teams, including AI-assisted code review and refactoring, test acceleration, release readiness, incident analysis, 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 lifecycle management toolchain.
Apply software development life cycle toolchain knowledge, including approved artificial-intelligence-assisted development and automation capabilities, to improve automation value at scale.
Contribute to team culture through diversity, opportunity, inclusion, and respect.

Desired Qualifications

Strong presentation, negotiation, mentoring, and stakeholder-management skills.
Strong problem-solving, analytical, and communication skills.
Ability to drive broader impact by sharing and contributing best practices.
Experience in the banking domain.
AWS certification.

Be an integral part of an agile team that’s constantly pushing the envelope to enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way.

As a Lead Software Engineer at JPMorganChase within Infrastructure Platforms, you will make a significant business impact through your skills and contributions, applying technical expertise and problem-solving methodologies to address a diverse array of challenges across multiple technologies and applications.

Job Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems.

• Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.

• Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.

• 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 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.

• Design and build solutions that avoid single points of failure using scalable architectural patterns.

• Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance.-

-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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of hands-on experience in software engineering, including system design, application development, testing, and operational support.

• Proficiency in back-end technologies (e.g., Python, Flask, Django) with experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).

• Hands-on development experience with Java and Spring/Spring Boot for building and supporting services.

• Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.

• Hands-on experience designing and building scalable applications using SQL and NoSQL databases.

• Experience with agile development methodologies (e.g., Scrum) and an understanding 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.)

- 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

• Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.

• Strong problem-solving, analytical, and communication skills.

• Ability to drive broader impact by sharing and contributing best practices.

• Experience in the banking domain.

• AWS certification.

Base Pay/Salary: Jersey City,NJ $156,750.00-$215,000.00

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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