Proficiency in scripting or programming languages (Python, PowerShell, etc.) for automation and infrastructure-as-code.
Knowledge of networking concepts and technologies, including virtual private clouds (VPCs), subnets, and load balancers.
Familiarity with containerization technologies (Docker, Kubernetes) and microservices architecture. Understanding of security best practices for cloud environments, including identity and access management (IAM), encryption, and network security groups. Experience with monitoring and logging tools for cloud infrastructure (CloudWatch, Azure Monitor, Stackdriver).
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time