We’re Hiring: Director, AIOps & Observability Engineering

We’re Hiring: Director, AIOps & Observability Engineering

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Jpmorgan Chase & Co.

At a Glance

  • Tasks: Lead a team in developing AI-powered observability solutions and drive architectural decisions.
  • Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
  • Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Dynamic work environment with a strong emphasis on collaboration and innovation.
  • Why this job: Make a significant impact by enhancing critical services with cutting-edge AI technology.
  • Qualifications: Proven experience in software engineering and leadership in AIOps.

The predicted salary is between 63000 - 77000 £ per year.

Morgan in London and across locations seeks a Director of Software Engineering (AIOps) to lead a large Observability Platforms program.

You will drive architectural decisions, mentor engineers, and deliver AI-powered self-healing and root-cause capabilities across the firm.

As an Executive Director, you will set strategy for agentic AI, oversee SDLC automation, and partner with security, product, and operations to improve speed, quality and reliability of critical services. #J-18808-Ljbffr

We’re Hiring: Director, AIOps & Observability Engineering 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 We’re Hiring: Director, AIOps & Observability Engineering

Architectural Decision-Making
Mentoring Engineers
AI-Powered Solutions
Self-Healing Systems
Root-Cause Analysis
Software Development Life Cycle (SDLC) Automation
Collaboration with Security Teams