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Senior Azure Cloud Engineer
2 months ago
Senior Azure Cloud Engineer - Teraform, Kubernetes
Competencies: Microsoft Azure
Digital : Amazon Web Service(AWS) Cloud Computing, Kubernetes, Terraform
Experience (Years): 8-10
Role Description:
• Help with and implement our Cloud Architectural Artifacts
• Network, Firewall, Routing
• Implementation level architecture for scalable IaC strategies (e.g. modularization etc)
• Platform Vs Service level scaling practices
• Contribute to and support our org wide Architecture Decision Records
• Support the delivery and maintenance of 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 to technical and quality requirements (scalability, performance, security, compliance)
• Support our Cloud Operational Practices
• Cloud infrastructure TCO optimization and focus
• Capacity planning by continuously monitoring utilized resources and demand trends
• Evangelize for our needs 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
• 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/OpenTofu, 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/ContainerD, 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 (CrowdStrike, Qwiet.AI, Prisma Cloud etc)
• Experience with cloud monitoring and logging tools like AWS CloudWatch, EFK/ELK Stack, OpenTelemetry, Dynatrace, Datadog, New Relic etc
• Knowledge of diagramming tools and methodologies (e.g. Miro, Diagrams.net, Figjam, Mermaid.JS etc)
• Educated to Degree level in Computer Science or equivalent
