JPMorgan Lead Software Engineer - Python 

United Kingdom, Scotland 

791308928

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 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 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
• 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

Required Qualifications, Capabilities, and Skills:

• Advanced proficiency in Python programming.
• Proficiency in SQL programming.
• Practical experience with cloud-native technologies.
• Hands-on experience in system design, application development, testing, and ensuring operational stability.
• Demonstrated proficiency in code optimization and refactoring to enhance scalability and performance.
• Experience with automation and continuous delivery methods.
• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.
• Proficiency in all aspects of the Software Development Life Cycle (SDLC).

Preferred Qualifications, Capabilities, and Skills:

• Experience as a full stack developer, including proficiency in front-end technologies such as React.
• Proficiency in big data technologies such as Hadoop, Spark, or Kafka for handling large-scale data processing
• Experience using tools like GitHub Copilot or Codeium.
• In-depth knowledge of the financial services industry and their IT systems
• Formal training or certification in software engineering concepts with applied experience
• Knowledge of orchestration technologies, such as Prefect, Airflow, or Dagster.