Architect - Openshift

The Kubernetes Architect – Open Shift is responsible for designing, building, and operating secure, scalable, and highly available Red Hat Open Shift Container Platform (OCP) environments across hybrid and multi-cloud infrastructures. This role bridges business requirements and technical execution by leading platform architecture, enabling application modernization, establishing governance and automation standards, and acting as a trusted technical advisor to engineering teams and stakeholders.

• Control Plane:
  Manages cluster state, scheduling, and orchestration. Consists of API server, etcd, controller manager, and scheduler.
• Worker Nodes:
  Run application workloads, managed via machine config pools for scalability and lifecycle management.
• Operators:
  Automate the deployment, scaling, and management of complex applications and platform services.
• Integrated Registry:
  Stores and manages container images, supporting lifecycle policies and image pruning.
• Authentication and Authorization:
  Implements RBAC, OAuth, and integration with external identity providers (LDAP, Active Directory).
• Networking: OVN-Kubernetes as the default CNI, supporting overlay networking, service mesh, ingress/egress, and network policies.
• Persistent Storage:
  Open Shift Data Foundation (ODF) for block, file, and object storage, supporting dynamic provisioning and multi-cloud integration.

• Pod and Service Management:
  Understanding pod lifecycle, service discovery, and load balancing.
• Custom Resource Definitions (CRDs):
  Extending Kubernetes APIs for custom automation and platform services.
• Controllers and Reconciliation Loops:
  Ensuring desired state through declarative configuration and automated remediation.
• Admission Controllers and Webhooks:
  Enforcing policies and validating resource creation.
• Resource Governance:
  Implementing quotas, limit ranges, and priority classes for workload management.

• Operator SDK:
  Building, testing, and deploying custom Operators using Go, Ansible, or Helm.
• Operator Lifecycle Manager (OLM):
  Managing Operator installation, upgrades, and dependencies.
• Custom Resource Definitions (CRDs):
  Defining APIs for custom automation and platform services.
• Automated Health Checks and Metrics:
  Integrating Prometheus and Grafana for observability.
• Declarative Infrastructure:
  Using YAML manifests and Git Ops workflows for repeatable deployments.

• OVN-Kubernetes:
  Overlay networking, distributed routing, and support for hybrid clusters (Linux/Windows).
• Service Mesh (Istio):
  Microservices communication, traffic management, and observability.
• Ingress/Egress Controllers:
  Managing external access, TLS termination, and routing policies.
• Network Policies:
  Implementing fine-grained access controls for pods and services.
• IPsec Encryption:
  Securing intra-cluster communication.

• Open Shift Data Foundation (ODF):
  Block, File, and Object Storage supporting databases, logging, monitoring, and application data.
• Dynamic Provisioning:
  Using CSI drivers for automated volume management.
• Multi-cloud Object Gateway:
  Abstracting storage across AWS S3, Azure Blob, GCP, and on-premises resources.
• Backup and Disaster Recovery:
  Implementing Velero and multi-region strategies for data protection.

• Prometheus and Grafana:
  Metrics collection, dashboarding, and alerting.
• Thanos Querier:
  Aggregating metrics across clusters for centralized monitoring.
• Logging Stack:
  Fluentd, Loki, Elasticsearch, and Kibana for log aggregation and analysis.
• Service Level Objectives (SLOs):
  Defining and tracking reliability metrics.
• Incident Response and Forensics:
  Integrating audit logs and monitoring tools for rapid issue resolution.

• Multi-AZ Deployments:
  Distributing control plane and worker nodes across availability zones.
• Cluster Autoscaling:
  Dynamic scaling of compute resources based on workload demand.
• Pod Disruption Budgets:
  Ensuring application availability…