 
        
        Cloud Infrastructure Specialist
We are seeking a skilled professional to design and implement scalable cloud-based systems that meet the needs of our dynamic environment.
Key Responsibilities:
 * Infrastructure as Code: You will work with modern cloud technologies like Pulumi (TypeScript) to automate the provisioning and management of infrastructure.
 * AWS Services: Strong understanding of AWS services including IAM, VPC, S3, EC2, EKS, and security groups is required.
 * Kubernetes Fundamentals: Solid knowledge of Kubernetes fundamentals including pods, services, deployments, and ingress is essential.
 * CI/CD Pipelines: Experience with CI/CD pipelines using GitHub Actions is necessary.
 * Containerization: Familiarity with containerization using Docker and deployment workflows with Helm, Kustomize, and FluxCD is expected.
 * Networking Concepts: Understanding of networking concepts including DNS, load balancers, and ingress controllers is needed.
 * Monitoring and Observability: Proven experience in monitoring and observability with Grafana, Loki, and Prometheus is required.
Nice to Have:
 * Build & Release Management: Experience with build & release management for TypeScript and/or Rust applications is a plus.
Other Traits:
 * Problem-Solving Skills: Strong problem-solving and troubleshooting skills are essential.
 * Cross-Functional Teamwork: Ability to work in cross-functional teams with engineers from multiple disciplines.
 * Passion for Automation: Passion for automation, scalability, and infrastructure best practices is a must.
About this role:
This position requires a highly skilled professional who can design and implement scalable cloud-based systems. The ideal candidate will have a strong understanding of AWS services, Kubernetes fundamentals, and CI/CD pipelines. Additionally, experience with containerization, networking concepts, and monitoring and observability tools is expected.
The successful candidate will be able to work independently and collaboratively as part of a cross-functional team. Strong problem-solving skills, passion for automation, and a willingness to learn and adapt are essential for this role.