Python Lead Engineer – AI-Driven, Secure Network Tools

Python Lead Engineer – AI-Driven, Secure Network Tools

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Jpmorgan Chase & Co.

At a Glance

  • Tasks: Lead the development of secure, AI-driven network tools and mentor cross-functional teams.
  • Company: Join JPMorgan Chase & Co., a leader in innovative technology solutions.
  • Benefits: Enjoy competitive pay, health perks, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with excellent career advancement potential.
  • Why this job: Make an impact by driving cutting-edge technology in a trusted environment.
  • Qualifications: Experience in software engineering and a passion for AI and security.

The predicted salary is between 60000 - 80000 Β£ per year.

JPMorgan Chase & Co. in London seeks a Lead Software Engineer within IP - Network Services to drive secure, scalable, and trusted technology products.

You will be a core contributor delivering cross-functional solutions and mentoring teams across multiple business functions.

You will design, develop, and review production code, adopt AI-assisted engineering practices, and help automate software delivery while ensuring resiliency and security across cloud and on-premise environments.

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Python Lead Engineer – AI-Driven, Secure Network Tools employer: Jpmorgan Chase & Co.

JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in Bournemouth where innovation and collaboration thrive. Employees benefit from a strong focus on professional development, inclusive team culture, and the opportunity to work with cutting-edge technology in a supportive atmosphere that values continuous improvement and engineering excellence.

Jpmorgan Chase & Co.

Contact Details:

Jpmorgan Chase & Co. Recruitment Team

We think you need these skills to ace Python Lead Engineer – AI-Driven, Secure Network Tools

Python
AI-assisted Engineering Practices
Software Development
Production Code Review
Cloud Environments
On-Premise Environments
Automation of Software Delivery