Cloud Platform Support Engineer; Azure, Kubernetes, IaC

Cloud Platform Support Engineer (Azure, Kubernetes, IaC)

Role

Description:

• Help the Cloud Architectural Artifacts
• Networking | firewalling | routing
• Implementation level architecture for scalable IaC strategies (e.g. modularization etc)
• Platform Vs Service level
• Contribute to and maintain our org wide Architecture Decision Records
• Enable our Cloud Policies | Procedures and Standards
• Disaster Resiliency | Recovery and Availability Planning
• IaC tooling | use and quality gating
• Cloud technology stack services consultancy and selection in accordance with technical and quality requirements (scalability | performance | security | compliance)
• Support our Cloud Operational Practices
• Drive Ecommerce and Parts town-wide projects
• Cloud infrastructure TCO modeling and optimization
• Capacity planning by continuously monitoring utilized resources and demand trends
• Manage relationships with cloud service providers/vendors to ensure smooth operations and support
• Lead and ensure compliance with organizational security practices and auditing
• Ensure maximal uptime of our infrastructure and services through monitoring | alerting | golden signals and on-call support
• Drive best in class cloud strategies
• Knowledge transfer | training | mentoring of cloud practices across the engineering org

Essential

Skills:

• Proficiency in one or more major cloud platforms, such as Azure (preference), Google Cloud, AWS or others
• Experience with modularized IaC (Infrastructure as Code) and industry tooling e.g. Terraform, Open Tofu, Ansible, Packer
• Configuration management | Secrets Management (Consul, Vault, KMS systems, Consul Template)
• Operational concerns:
  Disaster Recovery | Disaster Resilience | Monitoring | Alerting (ITSM) Change | Knowledge Incident Management
• Containerization technologies:
  Docker, Container
  
  D, Kubernetes (K8S | K3S), container registries and artifact tools (e.g. Artifactory, GCR, ACR, ECR)
• Administration of Kubernetes clusters
• Understanding of microservices principles and best practices for designing scalable and modular architectures including API Gateway technologies and best practices
• Understanding of event-driven architecture principles and best practices and tooling (e.g. Pub Sub, Kafka etc)
• Familiarity with serverless computing services and functions (e.g. Azure Functions, AWS Lambda etc)
• Proficient in cloud networking concepts, including VPCs, subnets, routing, load balancing, Firewalling (including WAF), and security groups
• Strong knowledge of cloud security best practices, including identity and access management (IAM), encryption, and security group configurations, SAST DAST tooling (Crowd Strike, Qwiet.
  
  AI, Prisma Cloud etc)
• Experience with cloud monitoring and logging tools like AWS Cloud Watch, EFK/ELK Stack, Open Telemetry, Dynatrace, Datadog, New Relic etc
• Knowledge of diagramming tools and methodologies (e.g. Miro, , Figjam, Mermaid.
  
  JS etc)
• Educated to Degree level in Computer Science or equivalent

Desirable

Skills:

• Keyword:
• Skills:
  
  Digital:
  Amazon Web Service (AWS) Cloud Computing ~ Digital:
  Dev Ops Continuous Integration and Continuous Delivery (CI/CD) ~ Digital:
  Terraform ~ Digital:
  Site Reliability Engineering (SRE)

Experience

Required:

• 8-10 years