Cloud Engineer (AWS & Azure Multi-Cloud Specialist)

What You Will Do:

We are seeking a highly skilled and experienced Cloud Engineer to manage, optimize, and secure our hybrid cloud environment spanning both Amazon Web Services (AWS) and Microsoft Azure. You will play a crucial role in shaping our multi-cloud strategy, enabling our teams to deliver reliable, scalable, and cost-efficient solutions for multiple Client Cloud Environments.

Cloud Infrastructure & Architecture

• Design and Implement Multi-Cloud Solutions: Architect, deploy, and manage scalable, highly
• available, and fault-tolerant infrastructure across AWS (using services like EC2, S3, RDS, VPC) and Azure (using services like Virtual Machines, Azure Storage, Azure SQL Database, Virtual Network).
• Infrastructure as Code (IaC): Develop, maintain, and manage cloud infrastructure using
• Terraform to ensure consistency, repeatability, and version control across both AWS and Azure environments.
• Migration: Oversee and execute the migration of on-premises workloads and existing applications to both AWS and Azure platforms, including configuring hybrid connectivity.
• Containerization & Serverless: Deploy and manage containerized applications using Docker and Kubernetes (e.g., AWS EKS, Azure AKS) and implement serverless solutions (e.g., AWS Lambda, Azure Functions) to optimize performance and cost.

Automation and DevOps Integrations

• CI/CD Pipelines: Build Integrations with Continuous Integration/Continuous Delivery (CI/CD) pipelines.
• Scripting and Automation: Write and maintain automation scripts using languages such as Python, PowerShell, or Bash to streamline operational tasks and reduce manual effort.
• SQL Optimization: Assist Clients with advanced SQL issues, suggest Database optimizations, and offer advanced guidance to better utilize SQL environments.
• Configuration Management: Utilize configuration management tools to manage and maintain operating systems and applications within the cloud environment.

Security, Monitoring, and Cost Optimization

• Cloud Security: Implement and manage robust security policies, including Identity and Access Management (IAM/Entra AD, RBAC), network security (VPC/VNet, Security Groups/NSGs), encryption, and compliance controls across both cloud providers.
• Monitoring and Logging: Configure and manage comprehensive monitoring, alerting, and logging solutions using platform-native tools (e.g., AWS CloudWatch, Azure Monitor) and third party tools (e.g., Datadog, Splunk) to ensure continuous operational health.
• Cost Management: Continuously monitor and analyze cloud spending, recommending and implementing optimization strategies (e.g., resource right-sizing, reserved instances, storage tiering) to ensure cost-efficiency.
• Incident Response: Participate in a 24/7 on-call rotation to respond to, troubleshoot, and resolve critical incidents in a timely manner.

What You Have Done:

Required Qualifications

• Experience: 3-5 years of hands-on experience as a Cloud Engineer or similar role.
• Education: Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent practical experience).
• AWS Familiarity: Proven experience designing and managing core AWS services Azure Expertise: Proven experience designing and managing core Azure services (Virtual Machines, Azure Storage, Azure Networking, Azure AD, ARM templates/Terraform).
• Scripting: Proficiency in at least one scripting language (Python preferred).
• SQL Expertise: Proven experience designing and managing SQL Databases, SQL installations, and advanced SQL troubleshooting
• Networking: Solid understanding of networking concepts (TCP/IP, DNS, VPNs, firewalls, load balancing, etc.).

Preferred Qualifications

• Certifications: Active professional-level certifications for both platforms with an emphasis on Azure certs (Administrator Associate (AZ-104) or Azure Developer Associate (AZ-204)).
• Containers: Experience with Docker and Kubernetes (EKS, AKS).
• Operating Systems: Proficient in administering both Linux and Windows operating systems.
• Database: Experience with both relational (e.g., SQL Server, RDS/Azure SQL) and NoSQL databases (e.g., DynamoDB, Azure Cosmos DB).