Hire Cloud Engineers

Why Hiring Cloud Engineers Is So Difficult

Cloud engineering sits at the intersection of infrastructure, networking, security, and software development. Finding candidates who can architect solutions across AWS, Azure, or GCP — while also understanding cost optimization, compliance, and disaster recovery — is one of the hardest challenges in technical recruiting today.

Traditional recruiters often match keywords on a resume without understanding the difference between someone who has clicked around the AWS console and someone who has designed multi-region, highly available architectures from scratch. A candidate might list "AWS" on their resume but lack the depth to design proper VPC networking, implement least-privilege IAM policies, or architect for failover across availability zones.

Exodata solves this with engineer-led vetting. Our cloud engineers conduct live technical assessments that probe real architectural thinking — not just certification knowledge. We evaluate how candidates reason about trade-offs between managed services and self-hosted solutions, how they approach infrastructure-as-code, and whether they can design systems that scale without burning through your cloud budget.

What Our Engineers Assess

Every cloud engineer candidate goes through a live technical assessment with our engineering team. Here's what we evaluate:

• Cloud architecture design — multi-region deployments, high availability patterns, and disaster recovery strategies
• Infrastructure as Code proficiency — Terraform, CloudFormation, Pulumi, or Bicep for reproducible, version-controlled environments
• Networking fundamentals — VPCs, subnets, peering, load balancing, DNS, and hybrid connectivity
• Security and IAM — identity management, least-privilege policies, encryption at rest and in transit, compliance frameworks
• Cost optimization — right-sizing instances, reserved capacity planning, spot/preemptible usage, and FinOps practices
• Migration experience — lift-and-shift vs. re-architecture strategies, data migration patterns, and cutover planning

Common Tech Stacks We Vet For

Engagement Options