Cloud DevOps Engineer AI Monitoring Engineer
Cantellat Software · Chennai · onsite · Posted 22d ago
₹20.0L - ₹35.0L PA5–10 yrsfulltimeSourced from
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About this role
Cloud DevOps Engineer AI Monitoring
Location : Chennai
Roles & Responsibilities
- Design, implement, and maintain scalable cloud infrastructure and DevOps environments across AWS, Azure, or GCP.
- Build and manage CI/CD pipelines, infrastructure automation, and deployment processes.
- Manage Docker/Kubernetes environments and cloud-native applications.
- Implement and maintain monitoring, observability, logging, and alerting solutions.
- Leverage AI/AIOps capabilities for anomaly detection, predictive monitoring, intelligent alerting, event correlation, and root-cause analysis.
- Automate operational activities, incident response, and remediation using Python, Bash, or similar scripting languages.
- Integrate AI/ML and Generative AI/LLM capabilities into DevOps and monitoring workflows where applicable.
- Troubleshoot performance, availability, and infrastructure issues and drive continuous improvement.
- Implement DevSecOps, reliability, security, and cloud optimization best practices.
Skills
- Cloud: AWS / Azure / GCP
- DevOps: CI/CD, Jenkins / GitLab / GitHub Actions / Azure DevOps
- Containers: Docker, Kubernetes
- IaC: Terraform / Ansible / CloudFormation
- Monitoring & Observability: Dynatrace / Datadog / Splunk / Prometheus / Grafana / ELK / OpenTelemetry
- Scripting: Python / Bash / PowerShell
- AI/AIOps: AIOps, anomaly detection, predictive analytics, intelligent event management
- GenAI: LLMs, AI APIs, RAG, AI-assisted incident management is an advantage
- Version Control: Git
Requirements
- 5+ years of experience in Cloud, DevOps, SRE, Platform Engineering, or Infrastructure.
- Strong hands-on experience with at least one major cloud platform.
- Proven experience with CI/CD, Kubernetes, Infrastructure as Code, and automation.
- Strong understanding of monitoring, observability, logging, and incident management.
- Practical experience with AI-driven monitoring / AIOps / anomaly detection.
- Strong scripting and troubleshooting skills.
- Experience working in enterprise-scale production environments.
- Good understanding of DevSecOps, reliability, performance, and cloud security.
- Bachelor's degree in Computer Science, Engineering, IT, or a related field preferred.
Interested candidates, please share your CV at [email removed] for detailed discussion.
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Skills
DevopsKubernetesAlopsinfrastructure as codesrePlatform engineeringscalabilityreliabilitycloudCi/Cd