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Job Title: Senior Infrastructure Drift Detection Specialist

Location: United Arab Emirates (Remote)

Employment Type: Full-Time

Work Arrangement: 100% Remote — Work From Home

About the Role

We are seeking an experienced Senior Infrastructure Drift Detection Specialist to identify, analyze, and remediate configuration differences between approved infrastructure definitions and deployed environments. The successful candidate will strengthen infrastructure consistency, improve configuration governance, automate drift detection, and reduce operational risks across cloud, hybrid, and on-premises environments.

Key Responsibilities
  • Design and implement infrastructure drift detection strategies across cloud and on-premises environments.
  • Monitor differences between declared infrastructure configurations and actual deployed resources.
  • Develop automated checks to identify unauthorized changes, configuration inconsistencies, and policy violations.
  • Manage infrastructure as code using tools such as Terraform, OpenTofu, Ansible, or comparable technologies.
  • Investigate configuration drift, determine root causes, and coordinate corrective actions with infrastructure and engineering teams.
  • Establish policies for configuration baselines, change tracking, approval workflows, and infrastructure compliance.
  • Integrate drift detection into CI/CD pipelines and infrastructure deployment workflows.
  • Implement automated remediation processes while ensuring appropriate approval controls for high-risk changes.
  • Monitor cloud resources, Kubernetes configurations, network settings, access policies, and infrastructure dependencies.
  • Collaborate with DevOps, platform engineering, security, and site reliability engineering teams to improve infrastructure consistency.
  • Develop dashboards, alerts, and reports covering drift incidents, remediation status, and recurring configuration issues.
  • Maintain technical documentation, operating procedures, configuration standards, and audit records.
Qualifications and Experience
  • Bachelor's degree in Computer Science, Information Technology, Cloud Engineering, or a related technical discipline.
  • At least 5–8 years of experience in infrastructure engineering, cloud operations, DevOps, or configuration management.
  • Strong experience with infrastructure as code tools such as Terraform, OpenTofu, CloudFormation, or Pulumi.
  • Practical knowledge of configuration management tools such as Ansible, Puppet, or Chef.
  • Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
  • Understanding of configuration baselines, version control, change management, and infrastructure lifecycle management.
  • Familiarity with Kubernetes, container infrastructure, networking, identity and access management, and cloud security controls.
  • Experience developing automation scripts using Python, Bash, PowerShell, or similar languages.
  • Knowledge of CI/CD pipelines, Git-based workflows, monitoring, and logging systems.
  • Familiarity with security benchmarks, compliance controls, and infrastructure auditing is an advantage.
  • Strong analytical, troubleshooting, documentation, and problem-solving skills.
  • Ability to work independently and coordinate effectively with distributed teams in a remote environment.
What We Offer
  • Competitive compensation based on qualifications and professional experience.
  • A 100% remote working arrangement with flexible coordination across distributed teams.
  • Opportunities to improve infrastructure reliability, automation, and configuration governance.
  • A collaborative environment that encourages technical innovation and continuous improvement.
How to Apply

Interested candidates should submit an updated CV and a brief cover letter highlighting their experience in infrastructure as code, drift detection, configuration management, and cloud automation.

Email Subject: Application – Senior Infrastructure Drift Detection Specialist (United Arab Emirates Remote)

  • Candidates should confirm applicable employment arrangements, residency requirements, and work authorization before accepting an offer.

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