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Protocol Intelligence
Data-driven signals on your job's competitivenessPopular SRE title, metro location, and early-mid experience increase competition but multi-cloud specialization moderates it.
Core SRE and cloud skills are broadly transferable across industries, reducing background sensitivity.
Explicit 1–4 years, mandatory multi-cloud hands-on experience, Terraform and Kubernetes requirements make filters strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, provision, and maintain resilient multi-cloud infrastructure across AWS, GCP, and Azure using cloud-agnostic Infrastructure as Code (IaC).
Build and automate CI/CD pipelines that optimize workload deployment across multiple cloud platforms.
Establish and manage site reliability practices including SLIs/SLOs, multi-cloud observability, incident response, disaster recovery, and cloud cost optimization.
Minimum Requirements
1 to 4 years of experience in DevOps, SRE, or Cloud Engineering with production experience in at least two major cloud providers (AWS, GCP, Azure).
Advanced proficiency in Infrastructure as Code (Terraform strongly preferred), and familiarity with CloudFormation, ARM/Bicep, or Deployment Manager.
Production-level Kubernetes administration experience (EKS, GKE, or AKS) and strong scripting skills in Python, Go, or Bash.
Experience with cloud-agnostic CI/CD tools and multi-cloud observability stacks (e.g., Prometheus, Grafana, Datadog).
Ideal Candidate Profile
Technical breadth across at least two cloud providers with the ability to implement multi-cloud architectures that avoid vendor lock-in and ensure high availability.
Experienced in automating infrastructure as software engineering including IaC and CI/CD pipeline development.
Experienced with production-grade Kubernetes cluster management and multi-cloud monitoring for proactive incident management and cost optimization.
