About the company

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.

Role Description:

We are seeking a DevOps Engineer specializing in Configuration Management and deployment automation. This role will be aimed at building a new Pre-Production Environment to support the organization's testing needs.
This role will requires analyzing configuration landscapes, automating deployment processes based on configuration states, and effectively monitoring the impact of changes.

Responsibilities:
• Implement and manage Configuration management Strategies and tools • Lead the Technical Integration of the CMDB using APIs and scripting • Analyze the Configuration landscape, Combine deployment and configuration changes into one package • Utilize Monitoring Tools, Generate Reports and analyze system behavior using Elastic Stack and Kibana. • Apply DevOps methodologies to continuously improve configuration and deployment processes.

Qualifications:
• 3–6 years of experience as a DevOps Engineer with a focus on configuration Management. • Hands-on Experience with Configuration Management principles and tools • Experience integrating and automating tasks related to CMDBs, especially ServiceNow. • Strong scripting skills in Python/Bash. • Proficiency in using REST APIs for system integrating • Understanding of CI/CD concepts and tools • Familiarity with Git and GitHub Action • Familiarity with monitoring Tools like Elastic Stack (Elasticsearch, Kibana) and query languages like KQL