Cloud Infrastructure Engineer

Key Responsibilities

• 
  Azure Cloud Management

• Manage and monitor Azure cloud environments for optimal performance, scalability, and security.
  
• Configure and maintain Azure resources (e.g., VMs, Storage, Networking, Azure AD, DNS, App Services, Key Vault, Cosmos DB, Azure Functions).
  
• Implement and manage access controls, user roles, and permissions to ensure data security and compliance.
  
• Manage cloud networking, security, and access controls (e.g., DNS troubleshooting, private endpoints, IAM key rotation).

• 
  Multi-Cloud Knowledge & Flexibility

• Demonstrate working knowledge of other major cloud platforms such as Amazon Web Services (AWS) and Google Cloud Platform (GCP).
  
• Support integration and interoperability between Azure and other cloud environments (e.g., hybrid or multi-cloud solutions).
  
• Apply best practices for cloud architecture, security, and cost optimization across multiple cloud providers.
  
• Stay informed about new features, services, and trends in AWS, GCP, and other emerging cloud technologies.
  
• Assist in evaluating, recommending, and implementing cloud solutions that best fit business and technical requirements, regardless of platform.
  
• Troubleshoot and resolve issues related to cloud interoperability, networking, and data migration between different cloud providers.

• 
  Automation & Infrastructure as Code (IaC)

• Automate routine tasks and resource provisioning using Azure tools, scripts (PowerShell, Python, Bash), and IaC best practices.
  
• Apply automation for alerting, monitoring, and system updates.

• 
  AI & Integration

• Assist in deploying and optimizing AI-related workloads in Azure.
  
• Integrate Azure with other platforms (e.g., Snowflake, AWS, Google APIs).

• 
  Technical Excellence

• Deliver technically sound solutions with minimal rework or bugs.
  
• Diagnose and resolve complex technical issues (e.g., DNS, connection issues, cost analysis).
  
• Propose innovative or optimized solutions (e.g., automating alerts, optimizing cost analysis).
  
• Handle high-complexity or high-priority tasks with competence.

• 
  Documentation & Process

• Provide detailed documentation of processes, configurations, and best practices for internal teams.
  
• Maintain accurate and complete documentation within JIRA.
  
• Communicate clearly and concisely in JIRA comments and documentation.

• 
  Collaboration & Professionalism

• Collaborate effectively with team members and stakeholders, including cross-team tasks and onboarding.
  
• Respond promptly and constructively to feedback or questions.
  
• Share knowledge and support onboarding or upskilling of others.
  
• Demonstrate willingness to learn new technologies or processes and adapt quickly to changing project requirements.

Requirements

Qualifications and Skills

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
  
• Minimum 5-7 years of experience as a Cloud Engineer or in a similar role.
  
• Demonstrated expertise in Microsoft Azure cloud services (VMs, Storage, Networking, Azure AD, DNS, App Services, Key Vault, Cosmos DB, Azure Functions).
  
• Experience with configuring and managing permissions and access controls in Azure.
  
• Proficiency in Infrastructure as Code (IaC) and automation (e.g., alert automation, resource provisioning).
  
• Familiarity with AI or machine learning platforms and their integration into cloud environments is a plus.
  
• Strong scripting skills (e.g., PowerShell, Python, or Bash) for automation and system management.
  
• Knowledge of monitoring tools and techniques for maintaining cloud infrastructure.
  
• Strong problem-solving skills, critical thinking, and root cause analysis.
  
• Ability to work independently or as part of a team.
  
• Excellent communication and documentation skills.

Preferred Certifications

• Microsoft Certified: Azure Administrator Associate
  
• Microsoft Certified: Azure AI Engineer Associate (preferred but not mandatory)
  

Behavioral Expectations

• Consistently meets deadlines and delivers high-quality work with minimal need for rework or escalation.
  
• Accepts responsibility for outcomes, including mistakes or delays.
  
• Demonstrates professionalism, adaptability, and a proactive approach to learning and process improvement.

This role offers an exciting opportunity to work on cutting-edge cloud projects, drive innovation, and make a significant impact within a collaborative and forward-thinking team.