Senior DevOps Engineer — Cloud-Native CI/CD & SRE

Senior DevOps Engineer — Cloud-Native CI/CD & SRE

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

At a Glance

  • Tasks: Enhance DevOps practices and collaborate on cloud-native CI/CD projects.
  • Company: Join Datatonic, a leading Google Cloud partner in a scale-up environment.
  • Benefits: Competitive salary, flexible working, and opportunities for continuous learning.
  • Other info: Dynamic team atmosphere with excellent career advancement potential.
  • Why this job: Make an impact with cutting-edge technology while growing your skills.
  • Qualifications: Experience in DevOps, CI/CD, and cloud architectures required.

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

Datatonic, a premier Google Cloud partner, seeks a Senior DevOps Engineer to establish and enhance DevOps practices for world‑class clients. You will join a growing scale‑up environment and bring hands‑on DevOps expertise to pipelines, tooling, and cloud architectures. You will collaborate with ML and data teams, applying CI/CD, automation, and best practices to deliver reliable, scalable systems while continually learning and growing in a dynamic technology landscape.

Senior DevOps Engineer — Cloud-Native CI/CD & SRE 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 DevOps Engineer — Cloud-Native CI/CD & SRE

DevOps Practices
CI/CD
Cloud Architectures
Automation
Pipelines
Tooling
Collaboration with ML Teams