Description

You will own the automation and reliability of services within a cloud-native environment.

Responsibilities

• Translate prototypes from AI engineers and data scientists into production-grade services.
• Automate the deployment of services and infrastructure, including Kubernetes, compute, and storage.
• Ensure system reliability, performance, and availability through monitoring and observability implementation.
• Troubleshoot system and application issues, performing root cause analysis when necessary.
• Introduce and evaluate new tools and frameworks from the Cloud, DevSecOps, and Open Source ecosystem.

Required Skills

• 5+ years of experience in a DevOps or SRE capacity.
• Strong hands-on experience with Microsoft Azure cloud services for enterprise application deployment.
• Expertise in Kubernetes for container orchestration, scaling, and managing microservices.
• Practical experience using Terraform for infrastructure provisioning and Infrastructure as Code.
• Strong scripting and automation skills using Python and YAML for pipeline configuration.
• Hands-on experience working with AEM 6.3 in cloud or enterprise settings.
• Experience designing and maintaining Azure CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD).
• Knowledge of API integrations and event management within distributed systems.
• Familiarity with Linux system administration and cloud-native observability practices.

Key Skills

Education

Any Graduate