We are seeking an experienced Devops/ AIOps Architect to design, architect, and implement an AI-driven operations solution that integrates various cloud-native services across AWS, Azure, and cloud-agnostic environments. The AIOps platform will be used for end-to-end machine learning lifecycle management, automated incident detection, and root cause analysis (RCA). The architect will lead efforts in developing a scalable solution utilizing data lakes, event streaming pipelines, ChatOps integration, and model deployment services. This platform will enable real-time intelligent operations in hybrid cloud and multi-cloud setups.

Responsibilities

• Assist in the implementation and maintenance of cloud infrastructure and services
• Contribute to the development and deployment of automation tools for cloud operations
• Participate in monitoring and optimizing cloud resources using AIOps and MLOps techniques
• Collaborate with cross-functional teams to troubleshoot and resolve cloud infrastructure issues
• Support the design and implementation of scalable and reliable cloud architectures
• Conduct research and evaluation of new cloud technologies and tools
• Work on continuous improvement initiatives to enhance cloud operations efficiency and performance
• Document cloud infrastructure configurations, processes, and procedures
• Adhere to security best practices and compliance requirements in cloud operations
  
  
  

Requirements

• Bachelor’s Degree in Computer Science, Engineering, or related field
• 12+ years of experience in DevOps roles, AIOps, OR Cloud Architecture
• Hands-on experience with AWS services such as SageMaker, S3, Glue, Kinesis, ECS, EKS
• Strong experience with Azure services such as Azure Machine Learning, Blob Storage, Azure Event Hubs, Azure AKS
• Strong experience with Infrastructure as Code (IAC)/ Terraform/ Cloud formation
• Proficiency in container orchestration (e.g., Kubernetes) and experience with multi-cloud environments
• Experience with machine learning model training, deployment, and data management across cloud-native and cloud-agnostic environments
• Expertise in implementing ChatOps solutions using platforms like Microsoft Teams, Slack, and integrating them with AIOps automation
• Familiarity with data lake architectures, data pipelines, and inference pipelines using event-driven architectures
• Strong programming skills in Python for rule management, automation, and integration with cloud services
  
  
  

Nice to have

• Any certifications in the AI/ ML/ Gen AI space