Cloud Ops Engineer
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Key skills for this role
About the Role
UrbaCon Contracting & Trading Company is seeking a Cloud Ops Engineer to architect, implement, and manage highly available infrastructure across Azure and GCP. The role focuses on infrastructure automation, CI/CD, AI/ML-driven monitoring, and container orchestration.
Key Skills for This Role
Responsibilities
- Design, develop, and maintain automated infrastructure solutions across multi cloud environments (Azure, GCP) and on premises systems, ensuring high availability, scalability, and security.
- Develop and integrate AI/ML based automation and AI agents to support infrastructure operations, including real time monitoring, anomaly detection, auto remediation, and self healing capabilities.
- Leverage AI driven agents for incident triage and resolution, automating common support tasks and enabling intelligent decision making during outages and performance issues.
- Automate routine operational tasks and infrastructure workflows using scripting languages (Bash, Python, PowerShell) to reduce manual overhead and improve response times.
- Implement infrastructure as code using tools like Terraform, Bicep, Ansible, Puppet, and Chef to provision, configure, and manage infrastructure in a repeatable and efficient manner.
- Build and manage CI/CD pipelines using Azure DevOps, GitLab CI/CD, or Jenkins to automate the end to end delivery lifecycle for infrastructure and application code.
- Deploy and orchestrate containerized workloads using Docker, Kubernetes, and NKP, supporting microservices based architectures and scalable infrastructure deployments.
- Implement AI based predictive analytics for infrastructure capacity planning, performance tuning, and preemptive fault detection.
- Configure and manage cloud networking components including VPNs, firewalls, and load balancers, ensuring secure and optimized connectivity.
- Administer identity and access controls (IAM, RBAC) and manage secrets and encryption using Azure Key Vault and GCP KMS, aligning with security and compliance standards.
- Monitor infrastructure health and performance using Prometheus, Grafana, and the ELK Stack, and integrate AI powered observability to enhance root cause analysis and alert accuracy.
- Optimize cloud costs using automation and AI powered insights, including resource tagging, automated scaling, budgeting, and rightsizing recommendations.
Requirements
- Minimum 5 years working experience, 3 years relevant working experience
- Bachelor's Degree in Information Technology or Computer Science
- Solid understanding of cloud platforms like Azure and GCP
- Familiarity with automation tools and scripting (Bash, Python, PowerShell)
- Awareness of AI/ML based tools and AI agents used in infrastructure automation, monitoring, and self healing operations
- Good knowledge of containerization using Docker and orchestration platforms like Kubernetes
- Familiarity with SecOps practices to ensure infrastructure is secure by design
- Understanding of cloud cost management, including tagging, budgeting, and resource rightsizing
- Strong documentation and collaboration skills
- 2 years GCC experience is a plus
Full Job Posting
Job Summary
- A Cloud Ops Engineer is responsible for architecting, implementing, and managing highly available, scalable, and secure infrastructure across Cloud Platforms.
- A key focus of this role is infrastructure automation, ensuring consistent, repeatable, and efficient provisioning and configuration of environments using Infrastructure as Code (IaC) and other DevOps and AI/ML Ops best practices.
- The engineer enables seamless continuous integration and delivery (CI/CD), leverages AI/ML driven monitoring tools for predictive analytics and system health, and collaborates cross functionally to align infrastructure with agile development needs.
Job Responsibilities 1
- Design, develop, and maintain automated infrastructure solutions across multi cloud environments (Azure, GCP) and on premises systems, ensuring high availability, scalability, and security.
- Develop and integrate AI/ML based automation and AI agents to support infrastructure operations, including real time monitoring, anomaly detection, auto remediation, and self healing capabilities.
- Leverage AI driven agents for incident triage and resolution, automating common support tasks and enabling intelligent decision making during outages and performance issues.
- Automate routine operational tasks and infrastructure workflows using scripting languages (Bash, Python, PowerShell) to reduce manual overhead and improve response times.
- Implement infrastructure as code using tools like Terraform, Bicep, Ansible, Puppet, and Chef to provision, configure, and manage infrastructure in a repeatable and efficient manner.
- Build and manage CI/CD pipelines using Azure DevOps, GitLab CI/CD, or Jenkins to automate the end to end delivery lifecycle for infrastructure and application code.
- Deploy and orchestrate containerized workloads using Docker, Kubernetes, and NKP, supporting microservices based architectures and scalable infrastructure deployments.
- Implement AI based predictive analytics for infrastructure capacity planning, performance tuning, and preemptive fault detection.
- Configure and manage cloud networking components including VPNs, firewalls, and load balancers, ensuring secure and optimized connectivity.
- Administer identity and access controls (IAM, RBAC) and manage secrets and encryption using Azure Key Vault and GCP KMS, aligning with security and compliance standards.
Job Responsibilities 2
- Monitor infrastructure health and performance using Prometheus, Grafana, and the ELK Stack, and integrate AI powered observability to enhance root cause analysis and alert accuracy.
- Optimize cloud costs using automation and AI powered insights, including resource tagging, automated scaling, budgeting, and rightsizing recommendations.
- Collaborate cross functionally with development, IT, and security teams to support automated infrastructure provisioning, pipeline integration, and deployment orchestration.
- Troubleshoot infrastructure and deployment issues across all environments, utilizing AI agents where possible to automate diagnostics and resolution.
- Ensure that all development and testing environments are fully automated, secured, and aligned with production standards to ensure environment consistency.
- Maintain detailed documentation of infrastructure designs, automation workflows, AI agent integrations, CI/CD processes, and operational procedures.
- Continuously evaluate and integrate emerging tools and technologies in infrastructure automation, AIOps, and DevSecOps to improve performance, reliability, and operational efficiency.
Job Knowledge & Skills
- A solid understanding of cloud platforms like Azure and GCP, including how to deploy, manage, and monitor resources.
- Familiarity with automation tools and the ability to write scripts for automating repetitive testing tasks is increasingly important.
- Awareness of AI/ML based tools and AI agents used in infrastructure automation, monitoring, and self healing operations.
- Good knowledge of containerization using Docker and orchestration platforms like Kubernetes for managing microservices.
- Familiarity with SecOps practices to ensure infrastructure is secure by design.
- Understanding of cloud cost management, including tagging, budgeting, and resource rightsizing.
- Strong documentation and collaboration skills to work effectively with development, IT, and security teams.
Job Experience
- Minimum 5 years working experience, 3 years relevant working experience, 2 years GCC experience is a plus.
Education
- Bachelor's Degree in Information Technology or Computer Science
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