Description

You will design and implement AI agents to optimize cloud resource allocation, auto-scaling, and performance tuning.

This role is on-site.

Responsibilities

• Develop predictive models for failure detection, incident management, and system health monitoring.
• Automate operational workflows using machine learning and intelligent scripting.
• Integrate AI-driven insights with existing cloud monitoring tools.
• Conduct anomaly detection for security, cost optimization, and performance analytics.
• Collaborate with DevOps and SRE teams to deploy, monitor, and improve ML models in production environments.

Required Skills

• 7+ years of professional experience in a relevant technical field.
• Proven ability building and deploying ML models, with at least 2 years focused on infrastructure or cloud operations.
• Solid knowledge of hybrid cloud technologies including AWS, GCP, OpenStack, and Kubernetes.
• Proficiency in Python, Golang, Bash, and/or C/C++.
• Experience with infrastructure automation using Terraform and Ansible.
• Familiarity with cloud-native monitoring, logging, and telemetry systems.
• Comfortable working with streaming data and APIs.
• Experience with Agile and DevOps operating models, including Git and CI/CD systems.

Key Skills

Education

Any Graduate