Cloud AIOps Architect

5 days ago

Bengaluru, Karnataka, India EPAM Systems Full time ₹ 12,00,000 - ₹ 30,00,000 per year

We are seeking an experienced
Cloud AIOps Architect
to lead the design and implementation of advanced AI-driven operational systems across multi-cloud and hybrid cloud environments. This role demands a blend of technical expertise, innovation, and leadership to develop scalable solutions for complex IT systems with a focus on automation, machine learning, and operational efficiency.

Responsibilities

  • Architect and design the AIOps solution leveraging AWS, Azure, and Cloud Agnostic services, ensuring portability and scalability
  • Develop an end-to-end automated machine learning (ML) pipeline from data ingestion, DataOps, model training, to inference pipelines across multi-cloud environments
  • Design hybrid architectures leveraging cloud-native services like Amazon SageMaker, Azure Machine Learning, and Kubernetes for development, model deployment, and orchestration
  • Design and implement ChatOps integration, allowing users to interface with the platform through Slack, Microsoft Teams, or similar communication platforms
  • Leverage Jupyter Notebooks in AWS SageMaker, Azure Machine Learning Studio, or cloud-agnostic environments to create model prototypes and experiment with datasets
  • Lead the design of classification models and other ML models using AWS SageMaker training jobs, Azure ML training jobs, or open-source tools in a Kubernetes container
  • Implement automated rule management systems using Python in containers deployed to AWS ECS/EKS, Azure AKS, or Kubernetes for cloud-agnostic solutions
  • Architect the integration of ChatOps backend services using Python containers running in AWS ECS/EKS, Azure AKS, or Kubernetes for real-time interactions and updates
  • Oversee the continuous deployment and retraining of models based on updated data and feedback loops, ensuring models remain efficient and adaptive
  • Design platform-agnostic solutions to ensure that the system can be ported across different cloud environments or run in hybrid clouds (on-premises and cloud)

Requirements

  • 13+ years of overall experience and 7+ years of experience in AIOps, Cloud Architecture, or DevOps roles
  • 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
  • Hands-on experience working on the design, development, and deployment of contact centre solutions at scale
  • 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
  • Experience in Kafka, Azure DevOps, and AWS DevOps for CI/CD pipelines

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