Cloud & DevOps Lead
Role Overview
Lead enterprise cloud architecture, DevOps implementation, and infrastructure management.
Own cloud infrastructure reliability, scalability, and security while driving technical decisions and stakeholder communication.
Key Skills for This Role
Full Job Posting
Role overview
Lead enterprise cloud architecture, DevOps implementation, and infrastructure management.
Own cloud infrastructure reliability, scalability, and security while driving technical decisions and stakeholder communication.
Cloud and DevOps responsibilities
- Lead, mentor, and manage Cloud & DevOps engineers to support best practices and efficient delivery.
- Design and implement secure, scalable, highly available Azure cloud architectures.
- Manage Azure Firewall, Palo Alto, Fortinet/FortiWeb, load balancers, Traffic Manager, Azure Front Door, CDN, and Cloudflare services.
- Configure site-to-site and point-to-site VPNs and hybrid networking environments.
- Drive infrastructure as code with Terraform and ARM templates; lead CI/CD automation with Azure DevOps, Jenkins, and Ansible.
- Deploy, manage, and optimize AKS; explore and implement Azure AI and cloud-native solutions.
- Collaborate with teams using .NET, Laravel, and Drupal; maintain HLDs, LLDs, and architecture diagrams.
- Manage cloud security, cost, performance, governance, monitoring, and observability; use Microsoft Defender for Cloud, Sentinel, Azure Monitor, and Log Analytics.
- Monitor, identify, and respond to cloud security threats and vulnerabilities.
Must-have qualifications
- 8–10 years of experience in cloud, DevOps, infrastructure, and team leadership.
- Strong hands-on Microsoft Azure expertise and working knowledge of AWS and GCP.
- Proven experience leading and mentoring Cloud & DevOps engineering teams.
- Strong understanding of enterprise cloud architecture, networking, security, and automation.
- Required certifications: Azure Administrator Associate AZ-104, DevOps Engineer Expert AZ-400, Azure Solutions Architect Expert AZ-305, and Azure AI Engineer Associate AI-102.
Technical and professional skills
- Azure networking includes VNet, NSG, UDR, private endpoints, and hybrid networking; strong understanding of VPNs and on-premises networking.
- Firewalls include Azure Firewall, Palo Alto, and Fortinet/FortiWeb; traffic tools include Load Balancer, Traffic Manager, Azure Front Door, CDN, and Cloudflare.
- Containerization: AKS. Infrastructure as code: Terraform and ARM templates. DevOps automation: Azure DevOps, Jenkins, and Ansible.
- Monitoring and security: Azure Monitor, Log Analytics, Microsoft Defender for Cloud, and Microsoft Sentinel.
- Leadership, team management, mentoring, communication, stakeholder management, architectural decision-making, ownership, analytical thinking, and problem-solving are emphasized.
- CCNA or CCNP certifications are an added advantage.
Work location
- Work location is in person.
Application
- Apply using the application form linked in the source posting.
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