Python Lead Software Engineer - Risk Technology

J.P. Morgan; Glasgow; On-site; GBP 60,000 - 90,000; Full time

Job summary

J.P. Morgan is seeking a Lead Software Engineer to join their Cross Risk Technology team in Glasgow. This role involves enhancing and delivering technology products while collaborating within an agile team. Key responsibilities include developing secure production code, troubleshooting, and optimizing application performance. Candidates should possess advanced skills in Python and SQL, with a strong understanding of agile methodologies. This position offers the chance to lead and innovate within a dynamic and diverse environment.

Qualifications

• Advanced proficiency in Python and SQL programming.
• Hands-on experience in system design and application development.
• Demonstrated proficiency in code optimization and refactoring.

Responsibilities

• Executes creative software solutions and develops high-quality production code.
• Identifies opportunities to improve operational stability of applications and systems.
• Leads evaluation sessions with vendors and internal teams.

Skills

Python

SQL

Cloud-native technologies

Application development

Code optimization

Automation

Agile methodologies

Software Development Life Cycle (SDLC)

Education

Formal training or certification in software engineering concepts

Tools

GitHub Copilot

Codeium

Big data technologies (Hadoop, Spark, Kafka)

Job description

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

As a Lead Software Engineer at JPMorgan Chase within Cross Risk Technology, youare 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of 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 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.