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Java Lead Software Engineer

AT JPMorgan Chase
JPMorgan Chase

Java Lead Software Engineer

Glasgow, United Kingdom

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Python / Spark Big Data Lead Software Engineer at JPMorgan Chase within the Capital Technology team, you will play a crucial role in an agile team, focusing on the enhancement, construction, and delivery of top-tier technology products in a secure, stable, and scalable manner. Your core technical contributions will involve developing vital technology solutions across a range of technical areas, supporting various business functions to achieve the firm's business objectives.

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure and 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, equity, inclusion, and respect
  • Provide guidance through leading, mentoring and coaching a team of software engineers
  • Directly lead a team of software engineers and technically lead as we continue to modernise our Capital Reporting processes within JPMorgan Chase

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Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and advanced applied experience
  • Advanced in Python & PySpark
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
  • Practical cloud native experience
  • Managing expectations of non-technical stakeholders.

Preferred qualifications, capabilities, and skills:

  • Familiar with AWS via hands on experience or certification
  • Familiarity with orchestration tools like Airflow
  • Familiarity with BASEL regulatory reporting framework
  • Familiarity with engineering in a regulatory controlled environment


ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Client-provided location(s): Glasgow, UK
Job ID: JPMorgan-210490415
Employment Type: Full Time