JP Morgan Chase

Runs a consumer bank and an investment bank

Senior Manager of Software Engineering - Python & Databricks

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeGlasgow, UKNo salary listedIn-person

About the Job

Requirements

Formal training or certification on software engineering concepts and applied experience.
Proven end-to-end delivery of data products using Python and/or Apache Spark and Databricks.
Experience building data-intensive software applications.
Experience managing technologists.
Experience leading responsible adoption of enterprise-authorized artificial intelligence-assisted development and delivery tools across engineering teams, including defining ways of working, review and validation expectations, measuring outcomes, and ensuring secure handling of data.
Understanding of responsible artificial intelligence use in engineering workflows, including data sensitivity considerations, resiliency and security implications, and governance expectations, with the ability to coach engineers on compliant and effective usage.
Proficiency in all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies, including continuous integration and continuous delivery, application resiliency, and security.
In-depth knowledge of the financial services industry and its information technology systems.
Practical cloud-native experience.

Responsibilities

Provide guidance to the immediate team of software engineers on daily tasks and activities.
Set overall guidance and expectations for team output, practices, and collaboration.
Lead team adoption of enterprise-authorized artificial intelligence-assisted engineering practices and Software Development Life Cycle and technology lifecycle management automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs and outputs, and consistent use of reusable patterns across teams.
Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized artificial intelligence-assisted development and automation capabilities, to improve the value realized by automation and support capacity-unlock initiatives.
Anticipate dependencies with other teams to deliver products and applications in line with business requirements.
Manage stakeholder relationships and the team’s work in accordance with compliance standards, service-level agreements, and business requirements.

This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.

As a Senior Manager of Software Engineering at JPMorgan Chase within the Corporate Technology, you will serve in a leadership role by providing technical coaching and advisory for multiple agile technical teams. You will anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights will influence budget and technical designs to advance operational efficiencies and functionalities.

Job responsibilities

Provides guidance to immediate team of software engineers on daily tasks and activities
Sets the overall guidance and expectations for team output, practices, and collaboration
Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives.
Anticipates dependencies with other teams to deliver products and applications in line with business requirements
Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and applied experience.
Proven end-to-end delivery of data products using Python and/or Spark and Databricks.
Experience building data-intensive software application
Experience managing technologists
Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
In-depth knowledge of the financial services industry and their IT systems
Practical cloud native experience

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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