Kubernetes Platform Lead Engineer in London

Kubernetes Platform Lead Engineer in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
London Stock Exchange Group

At a Glance

  • Tasks: Design and maintain Kubernetes infrastructure while mentoring fellow engineers.
  • Company: Join the London Stock Exchange Group, a leader in financial technology.
  • Benefits: Competitive salary, career development, and a dynamic work environment.
  • Other info: Opportunity for continuous improvement and professional growth.
  • Why this job: Lead innovative projects and shape the future of cloud technologies.
  • Qualifications: Degree in Computer Science and strong experience in cloud and Agile methodologies.

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

London Stock Exchange Group is seeking a Lead Technical Engineer with extensive experience in Kubernetes to join their team in Greater London. This role involves designing, implementing, and maintaining Kubernetes infrastructure while providing mentorship to engineers and driving continuous improvement initiatives.

The ideal candidate will have a degree in Computer Science or related fields, along with a strong background in cloud technologies, Agile delivery, and team management.

Kubernetes Platform Lead Engineer in London employer: London Stock Exchange Group

At London Stock Exchange Group, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our Greater London location offers a dynamic work environment with ample opportunities for professional growth, mentorship, and involvement in cutting-edge technology projects. We are committed to supporting our employees' development while providing a competitive benefits package that enhances work-life balance.

London Stock Exchange Group

Contact Details:

London Stock Exchange Group Recruitment Team

We think you need these skills to ace Kubernetes Platform Lead Engineer in London

Problem-Solving Skills
Communication Skills
Python
SQL
Data Engineering
ETL/ELT Processes
Data Pipeline Development