Senior Cloud DevOps Engineer for AI & Data in London

Senior Cloud DevOps Engineer for AI & Data in London

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

At a Glance

  • Tasks: Strengthen client DevOps practices and modernise pipelines on Google Cloud.
  • Company: Datatonic, a forward-thinking tech company in London.
  • Benefits: Competitive salary, flexible hybrid work, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and best practices.
  • Why this job: Join a dynamic team and make an impact in AI and data projects.
  • Qualifications: Initial DevOps experience or software engineering background required.

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

Datatonic in London is seeking a Senior Dev Ops Engineer to strengthen client Dev Ops practices and modernize pipelines on Google Cloud.

The role suits someone with initial Dev Ops experience or a software engineer transitioning into the Dev Ops field.

You will collaborate with ML, data engineers and clients, design robust CI/CD pipelines, and champion best practices while helping scale infrastructure across projects in a dynamic, hybrid work environment.

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Senior Cloud DevOps Engineer for AI & Data in London employer: Datatonic

Datatonic is an exceptional employer that fosters a vibrant and innovative work culture, perfect for those passionate about cloud technologies and DevOps practices. With a strong emphasis on employee growth, you will have ample opportunities to enhance your skills while working alongside talented teams on cutting-edge projects for prestigious clients. Located in a dynamic scale-up environment, Datatonic offers a unique chance to make a significant impact in the tech landscape while enjoying a collaborative and supportive atmosphere.

Datatonic

Contact Details:

Datatonic Recruitment Team

We think you need these skills to ace Senior Cloud DevOps Engineer for AI & Data in London

Python
SQL
Problem-Solving Skills
Data Engineering
Data Pipeline Development
API Integration
Communication Skills