Join our Enterprise Technology & Performance team as a Manager for Transformation Excellence in Hyderabad. This role is pivotal in driving innovation and long-term growth by managing enterprise technology initiatives. You will oversee cluster architecture and delivery across both cloud (AKS) and edge (K3s) restaurant environments, ensuring seamless operations and robust performance.

This is a contract-to-hire opportunity for a seasoned professional looking to make a significant impact in a dynamic technology landscape.

Own the cluster architecture and delivery for cloud (AKS) and edge (K3s) restaurant environments.

Implement and manage Edge Deployment Automation, including K3s cluster provisioning and lifecycle management across restaurant sites.

Utilize Spectro Cloud (Palette) and Flux (GitOps) for automated, safe rollouts and rollbacks.

Manage Cloud Containerized Applications with AKS cluster operations and Helm/Kustomize packaging, ensuring consistency from cloud to edge.

Configure Traefik for traffic routing and load balancing across cloud and edge clusters.

Tune autoscaling and load balancing for constrained in-restaurant hardware, ensuring efficient resource utilization.

Implement Edge Networking solutions using Calico CNI for multi-tenant workload isolation.

Develop and manage Edge Resiliency and Disaster Recovery strategies, including Azure Arc-enabled Kubernetes for fleet management and automated cluster recovery for sites with intermittent connectivity.

A minimum of 7 years and a maximum of 15 years of relevant professional experience is required.

Must possess hands-on expertise in Edge Deployment Automation with K3s, Spectro Cloud (Palette), and Flux (GitOps).

Proficiency in Cloud Containerized App Management, including AKS, RBAC, node pools, Helm, and Kustomize.

Strong understanding of Traffic Routing & Load Balancing using Traefik.

Experience with Autoscaling & Load Balancing on edge hardware is essential.

Knowledge of Edge Networking with Calico CNI is required.

Familiarity with Edge Resiliency & Disaster Recovery principles, Azure Arc-enabled Kubernetes, Prometheus, Grafana, and Azure Monitor is expected.

Ability to troubleshoot common cluster issues like CrashLoopBackOff, node-pressure evictions, and CoreDNS failures at scale.