The Kubernetes Architect OpenShift is responsible for designing, building, and operating secure, scalable, and highly available Red Hat OpenShift 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.
Core Responsibilities
OpenShift Architecture and Components
- 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: OpenShift Data Foundation (ODF) for block, file, and object storage, supporting dynamic provisioning and multi-cloud integration.
Kubernetes Fundamentals and Advanced Concepts
- 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.
Platform Automation, Operators, and Custom Resources
- 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 GitOps workflows for repeatable deployments.
Networking, Service Mesh, and Ingress/Egress Design
- 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.
Storage, Persistent Volumes, and Data Services
OpenShift 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.
Monitoring, Observability, Logging, and SRE Practices
- 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.
High Availability, Scalability, and Disaster Recovery
- 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 during maintenance.
- Disaster Recovery: Backing up etcd, restoring clusters, and implementing failover mechanisms.
Identity, Access Management, and Governance
- RBAC and OAuth: Managing user and service account permissions.
- Integration with LDAP/Active Directory: Centralized identity management and group synchronization.
- Security Context Constraints (SCCs): Enforcing pod-level security policies.
- Audit Logging: Tracking access and changes for compliance.
- Policy-as-Code: Using OPA/Gatekeeper for automated policy enforcement.
Compliance, Auditing, and Regulatory Readiness
- Compliance Operator: Automated scanning and remediation for CIS, NIST, PCI-DSS, HIPAA, and other benchmarks.
- Tailored Profiles: Customizing compliance checks for client-specific requirements.
- Audit Trails: Persistent storage of scan results and remediation actions.
- Manual and Automated Remediation: Applying fixes via MachineConfig and KubeletConfig.
Container Runtime, Image Management, and Registries
- CRI-O and Docker: Managing container runtimes.
- Internal and External Registries: OpenShift integrated registry, Quay, DockerHub, Artifactory.
- Image Pruning and Lifecycle Policies: Automating cleanup of unused images to optimize storage.
- Vulnerability Scanning: Integrating Quay Security Operator and Trivy for image scanning.
Application Modernization and Migration Strategies
- Migration Toolkit for Applications (MTA): Assessing container suitability, analyzing source code, and automating migration paths.
- Bulk Assessment and Automated Refactoring: Reducing manual effort and technical debt.
- CI/CD Integration: Generating deployment artifacts for automated pipelines.
- Modernization Planning: Prioritizing applications based on business impact and migration effort.
Enterprise Integration: Middleware, Messaging, Databases
- AMQ Streams (Kafka): Event-driven architectures, message brokering, and stream processing.
- Operators for Databases and Middleware: Automating deployment and management of PostgreSQL, MongoDB, JBoss, and other services.
- Kafka Connect and MirrorMaker: Integrating with external systems and multi-cluster replication.
- Service Mesh Integration: Managing microservices communication and observability.
Business And Consulting Skills
Stakeholder Communication and Solution Design
- Stakeholder Engagement: Translating business requirements into technical solutions, managing expectations, and facilitating decision-making.
- Solution Design: Architecting resilient, scalable, and secure platforms tailored to client needs.
- Cost Optimization and Cloud Economics: Advising clients on pricing models, reserved instances, and resource utilization to minimize costs.
- Service Level Agreements (SLAs): Defining and managing SLAs, support models, and shared responsibility matrices.
- Compliance Readiness and Audit Support: Guiding clients through regulatory compliance and audit processes.
Application Modernization and Migration Consulting
- Modernization Planning: Assessing application portfolios, prioritizing migration efforts, and defining strategies.
- Migration Toolkit for Applications (MTA): Automating assessment, refactoring, and deployment of legacy applications.
- Integration with Enterprise Systems: Designing patterns for middleware, messaging, and databases.
Cost Optimization Strategies
- Hardware Overcommit: Maximizing resource utilization for virtualized workloads.
- Reserved Instances and Savings Plans: Leveraging cloud provider programs for predictable costs.
- Unified Billing and Financial Planning: Aligning platform consumption with organizational budgets.
Required Skills & Experience
- Strong hands-on experience architecting and operating Red Hat OpenShift in production.
- Deep knowledge of Kubernetes architecture, networking, storage, and security.
- Experience with GitOps, CI/CD pipelines, and infrastructure automation.
- Proven ability to design for high availability, scalability, and disaster recovery.
- Strong communication skills with experience working across engineering and business teams.
Certifications, Training, and Career Development Paths
Red Hat OpenShift Certification Tracks
- Red Hat Certified OpenShift Administrator (EX280)
- Red Hat Certified Architect (RHCA)
- Specialist Certifications: OpenShift Automation and Integration (EX380), Advanced Cluster Security (EX430), Data Foundation (EX370), Virtualization (EX316).
- Kubernetes certifications (CKA, CKAD, CKS)
- Cloud Services Specializations: ROSA (AWS), ARO (Azure), hybrid cloud deployments.
