Infrastructure Automation Lead
5 days ago
About the Role
Cornestone OnDemand is seeking a highly skilled DevOps Engineer to join our team. As a key member of our cloud infrastructure team, you will be responsible for designing, automating, and optimizing our global cloud systems.
As a DevOps Engineer, you will work on a wide range of projects, from automating and orchestrating tasks using Python, Groovy, PowerShell, and managing CI/CD pipelines with Jenkins and AWS Lambda, to implementing AI/ML-based anomaly detection and predictive analytics for cloud infrastructure performance and security.
Key Responsibilities:
- Automate & Orchestrate: Develop, test, and debug automated tasks (Apps, Systems, Infrastructure) using Python, Groovy, PowerShell, and manage CI/CD pipelines with Jenkins and AWS Lambda.
- Implement Ai-Driven Monitoring: Use AI/ML-based anomaly detection and predictive analytics for cloud infrastructure performance and security.
- Manage Cloud Infrastructure as Code: Use Terraform, CloudFormation, and Boto3 to manage and optimize AWS cloud environments.
- Enhance Observability & Resiliency: Use AI-powered observability tools (e.g., Datadog, Prometheus, ELK) to enhance logging, monitoring, and alerting.
- Proactively Manage Incidents: Use AI-based analytics to predict system failures and optimize performance bottlenecks.
- Migrate & Optimize Cloud Workloads: Support cloud-native transformation, such as migrating workloads from EC2 to ECS for scalability and efficiency.
- Integrate Security & Compliance Tools: Use AI-based threat detection and response tools to strengthen cloud security.
You'll Be Successful If You Have:
- 3 to 4 years of experience in DevOps, Cloud Engineering, or SRE.
- Strong AWS experience (AWS certification is a plus).
- Hands-on experience with AI-driven monitoring and predictive analytics.
- Proficiency in Python, Groovy, PowerShell, or similar scripting languages.
- Experience with CI/CD tools (Jenkins, GitHub Actions).
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