Senior Cloud DevOps Engineer for AI & Data

Senior Cloud DevOps Engineer for AI & Data

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: Collaborate with ML and data engineers in an innovative environment.
  • 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. #J-18808-Ljbffr

Senior Cloud DevOps Engineer for AI & Data 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

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