Dynamics 365 & Azure DevOps Engineer

Dynamics 365 & Azure DevOps Engineer

Full-Time 50000 - 65000 £ / year (est.) No working from home possible
Chartered Insurance Institute

At a Glance

  • Tasks: Optimise DevOps practices and manage automated pipelines for Dynamics 365.
  • Company: Join the Chartered Insurance Institute, a leader in digital transformation.
  • Benefits: Hybrid role with a competitive salary of £64,000 to £74,000.
  • Other info: Great opportunity for career growth in a supportive team.
  • Why this job: Be part of a transformative journey in a dynamic tech environment.
  • Qualifications: 5–10 years in DevOps or software development with Azure DevOps expertise.

The predicted salary is between 50000 - 65000 £ per year.

The Chartered Insurance Institute is hiring a DevOps Engineer based in London. The role involves strengthening digital transformation by optimizing DevOps practices across various platforms.

Key responsibilities include:

  • Managing automated pipelines for Dynamics 365
  • Designing secure integrations

Applicants should possess 5–10 years of experience in DevOps or software development, with a strong understanding of Azure DevOps, cloud engineering, and SQL.

This is a hybrid position offering a salary between £64,000 and £74,000.

Dynamics 365 & Azure DevOps Engineer employer: Chartered Insurance Institute

The Chartered Insurance Institute is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong commitment to employee growth, we provide ample opportunities for professional development and training in cutting-edge technologies like Dynamics 365 and Azure DevOps. Our hybrid working model ensures a healthy work-life balance, making us an attractive choice for those seeking meaningful and rewarding employment.

Chartered Insurance Institute

Contact Details:

Chartered Insurance Institute Recruitment Team

We think you need these skills to ace Dynamics 365 & Azure DevOps Engineer

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