JP Morgan Chase

Runs a consumer bank and an investment bank

Senior Java Lead Software Engineer

Backend EngineeringConfirmed live in the last 24 hours

Full-timeGlasgow, UKNo salary listedIn-person

About the Job

Requirements

Hands-on practical experience delivering system design, application development, testing, and operational stability.
Formal training or certification on software engineering concepts and advanced applied experience.
Advanced proficiency in one or more programming languages.
Demonstrated experience leading effective use of enterprise-authorized artificial intelligence-assisted software development tools, including validating artificial intelligence 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 resiliency and security expectations.
Ability to tackle design and functionality problems independently with little to no oversight.
Practical cloud-native experience.
Strong functional and object-oriented programming skills with expertise in Scala, Java, Python, and open-source frameworks and libraries such as Apache Spark.
Familiarity with software engineering and project management tools such as Git, Jira, and Agile.
Strong problem-solving, analytical, and debugging skills.
Ability to work independently and collaboratively in a fast-paced and dynamic environment.
Strong communication and interpersonal skills.

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.
Establish measurable validation standards for secure coding, peer review, automated testing, release readiness, incident and root-cause analysis, and artificial intelligence-assisted engineering outputs.
Promote reuse of proven patterns and automation within the software development life cycle and technology life cycle toolchain.
Apply software development life cycle toolchain capabilities, including approved artificial intelligence-assisted development and automation tools, to improve the value realized from automation at scale.
Drive decisions influencing product design, application functionality, technical operations, and technical processes.
Serve as a function-wide subject matter expert in one or more focus areas.
Advocate for firmwide software development life cycle frameworks, tools, and practices within the engineering community.
Coach senior engineers and leads on compliant artificial intelligence usage patterns and controls.

Desired Qualifications

Experience working with cloud platforms such as Databricks.
Experience working with data analysis and machine learning tools and frameworks.
Experience working with web development frameworks such as React, Angular, or Vue.
Certifications in software engineering, project management, or related fields.
Experience building on emerging cloud serverless managed services to minimize or eliminate physical and virtual server footprint.
Experience implementing security solutions for data storage and processing in the cloud.

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 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.
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

Hands-on practical experience delivering system design, application development, testing, and operational stability
Formal training or certification on software engineering concepts and advanced applied experience
Advanced in one or more programming language(s)
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.
Ability to tackle design and functionality problems independently with little to no oversight
Practical cloud native experience
Strong functional and object-oriented programming skills with expertise in languages such as Scala, Java, and Python; and open-source frameworks/libraries, such as Apache Spark.
Familiar with software engineering and project management tools such as Git, Jira, and Agile.
Excellent problem-solving, analytical, and debugging skills.
Ability to work independently and collaboratively in a fast-paced and dynamic environment.
Excellent communication and interpersonal skills.

Preferred qualifications, capabilities, and skills

Experience in working with cloud platforms such as Databricks.
Experience in working with data analysis and machine learning tools and frameworks.
Experience in working with web development frameworks such as React, Angular, or Vue.
Certifications in software engineering, project management, or related fields.
Experience in building on emerging cloud serverless managed services, to minimize/eliminate physical/virtual server footprint.
Experience implementing security solutions for data storage and processing in the cloud.

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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