Senior Cloud DevOps Engineer – AI & Automation

Role Overview:

We are seeking a highly skilled and experienced Cloud DevOps Engineer with AI & Automation expertise to design, develop, and manage scalable cloud-native solutions. The ideal candidate will have strong hands-on experience across Azure, AWS, Infrastructure as Code, and LLM/GenAI integrations, along with a deep understanding of event-driven architectures and CI/CD pipelines.

Key Responsibilities:

• Design, build, and maintain scalable cloud solutions across Azure and AWS platforms
• Develop and deploy serverless applications using:
  • Azure Functions, Logic Apps
  • AWS Lambda, Step Functions
• Implement and manage Infrastructure as Code (IaC) using Terraform and CloudFormation
• Integrate Azure OpenAI Service / LLM-based GenAI solutions into enterprise applications
• Build and maintain CI/CD pipelines for automated deployments and testing
• Design and implement event-driven architectures using cloud-native services
• Develop and consume RESTful APIs for system integration
• Monitor, troubleshoot, and optimize cloud environments using:
  • Azure Monitor
  • AWS CloudWatch
• Manage cloud governance and compliance using:
  • Azure Resource Manager, Azure Policy
• Containerize applications using Docker and orchestrate workloads using Kubernetes
• Collaborate with cross-functional teams including developers, architects, and data engineers

Essential Skills:

• Programming: Python (strong proficiency required)
• Cloud Platforms:
  • Azure (Functions, Logic Apps, Monitor, Resource Manager, Policy, Azure OpenAI)
  • AWS (Lambda, Step Functions, CloudWatch, CloudFormation, Boto3)
• Infrastructure as Code (IaC): Terraform, CloudFormation
• DevOps & CI/CD: Pipeline design and implementation (Azure DevOps, GitHub Actions, or similar)
• APIs: RESTful API development and integration
• Architecture: Event-driven architecture patterns
• Containers: Docker, Kubernetes
• AI/ML: LLM & GenAI integration experience

Desirable Skills:

• Experience with multi-cloud environments
• Familiarity with microservices architecture
• Knowledge of security best practices in cloud environments
• Exposure to observability tools and logging frameworks
• Experience in performance tuning and cost optimization