This is a one -year contractual position on the direct payroll of Company.
Key Responsibilities:
î¬ Strong hands -on experience with Azure compute, storage, networking,
VMs, VMSS, Load Balancers, NSGs, Firewalls, Route Tables, Private
DNS.
î¬ Expertise in Azure Landing Zone build -out, configuration, and
validation.
î¬ Hands -on experience deploying and integrating applications with Azure
SDK services such as Key Vault, Storage, and Service Bus.
î¬ Proven experience migrating workloads from on -premises or AWS to
Azure.
î¬ Practical experience with Azure Migrate, including discovery,
dependency assessment, replication, and cutover activities.
î¬ Experience onboarding, configuring, and utilizing cloud migration tools,
frameworks, and migration playbooks.
î¬ Ability to lead end -to -end migration phases independently
Proficiency in containerization using Docker, including image creation,
optimization, and registry management.
î¬ Hands -on experience with Kubernetes, preferably Azure Kubernetes
Service (AKS), for deploying, scaling, and managing containerized
applications.
î¬ Strong understanding of Kubernetes core concepts such as pods,
deployments, services, ingress, config maps, secrets, and autoscaling.
î¬ Skilled in writing and maintaining Kubernetes YAML manifests, Helm
charts, and CI/CD deployment pipelines for AKS.
î¬ Proficiency in Azure DevOps for backlog management, repository
governance, and end -to -end pipeline implementation.
î¬ Hands -on experience designing and managing CI/CD pipelines using
Azure DevOps (preferred), GitLab CI/CD, or GitHub Actions.
î¬ Strong expertise in Infrastructure as Code (IaC) using Terraform, Bicep,
and ARM templates, including reusable module development and
environment standardization.
î¬ Automation using PowerShell, Shell/Bash, Azure Policy.
î¬ Knowledge of secure pipelines, secrets management, compliance
î¬ Experience with Azure API Management, Azure Data Factory, Azure SQL
Managed Instance.
î¬ Experience integrating AKS with Azure Monitor, Log Analytics, Key
Vault, ACR, and other Azure services.
î¬ Understanding of AI Agent lifecycle management.
î¬ AI Gateway Integration for multi -agent access & routing.
Designing effective human–AI interaction workflows.
î¬ Automation using Agentic -AI frameworks (preferred).