Cloud Computing Engineer

Cloud Computing Engineers build and operate the infrastructure layer that everything else in a cloud-native organization runs on. If an application team needs a new database cluster, they go to the cloud engineer to provision it according to security and cost standards. If the Kubernetes cluster needs an upgrade, the cloud engineer plans and executes it without taking down production. If a security misconfiguration is flagged in a posture scan, the cloud engineer determines the fix and deploys it.

The work is primarily infrastructure-as-code. Modern cloud engineering teams don't provision resources through the console — they write Terraform or Pulumi modules, review them in pull requests, test them against non-production environments, and merge changes through the same CI/CD pipelines that application code uses. This means cloud engineers write code every day, even if the code provisions infrastructure rather than application logic.

Networking is a significant portion of the expertise required. Cloud networking — designing VPC structures for multi-account environments, configuring transit gateway architectures, implementing security group rules that enforce network segmentation — is complex enough that many cloud engineers specialize in it. Mistakes in cloud networking configuration are a frequent cause of security incidents and production outages.

Kubernetes management has become a core competency at most engineering organizations. Managing EKS, AKS, or GKE clusters — upgrading control planes and node groups, tuning autoscaler configurations, troubleshooting pod networking — is daily work at companies running containerized applications at scale.

Security is integrated throughout. Cloud engineers implement the IAM policies, encryption configurations, and security posture baselines that compliance teams require, and they troubleshoot the misconfiguration findings that security tools surface. The line between cloud engineering and cloud security is blurred enough that many engineers maintain credentials in both areas.

Education:

• Bachelor's degree in computer science, electrical engineering, or a related field
• Bootcamp graduates with a strong portfolio of cloud projects and certifications are accepted at many companies

Experience benchmarks:

• 3–5 years of cloud infrastructure engineering for mid-level roles
• Direct hands-on experience with infrastructure-as-code at production scale — not just tutorials
• Track record of building or maintaining a multi-environment cloud infrastructure (dev/staging/production)

Certifications:

• AWS Certified Solutions Architect Associate (baseline) or AWS DevOps Engineer Professional (preferred)
• Azure Administrator Associate or Azure DevOps Engineer Expert for Azure environments
• Certified Kubernetes Administrator (CKA) for Kubernetes-heavy organizations
• HashiCorp Certified: Terraform Associate for Terraform-centric infrastructure teams

Technical skills (core):

• Infrastructure-as-code: Terraform (primary), Pulumi, AWS CloudFormation, Azure Bicep
• Containers and orchestration: Docker, Kubernetes (EKS/AKS/GKE), Helm, ArgoCD or Flux
• CI/CD: GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline — building infrastructure pipelines
• Programming: Python for automation and tooling; Bash for operational scripts; Go is a differentiator
• Cloud networking: VPCs, subnets, security groups, route tables, NAT, VPN, Direct Connect/ExpressRoute, DNS

Security skills:

• IAM: AWS IAM policies, Roles, SCPs, permission boundaries; Azure RBAC and PIM; GCP IAM
• Cloud security tools: AWS Security Hub, GuardDuty; Azure Defender; Prisma Cloud, Wiz
• Secrets management: HashiCorp Vault, AWS Secrets Manager, Azure Key Vault

Cloud Computing Engineer is one of the highest-demand titles in technology and has been for the past five years. Demand growth is structural: every company that migrates a workload to the cloud needs platform engineers to build and maintain the infrastructure layer. As cloud environments grow more complex — multi-account structures, multi-cloud architectures, Kubernetes clusters, AI infrastructure — the per-engineer work content increases rather than decreasing.

The Kubernetes adoption wave continues to expand the addressable market. Companies that deployed Kubernetes three to five years ago are now running complex production environments that require dedicated engineering attention for upgrades, security, and cost management. This installed base creates sustained demand that extends well beyond the initial migration phase.

AI infrastructure is the most significant near-term growth driver. Companies building internal AI capabilities need cloud engineers who understand GPU instance types, can configure distributed training environments, and can build inference serving infrastructure that handles variable request load cost-effectively. The intersection of cloud infrastructure and AI workloads is producing a specialization premium of 15–25% over general cloud engineering compensation at companies with significant AI programs.

Platform engineering as an organizational concept is elevating the cloud engineer function. The internal developer platform — the curated set of infrastructure tooling and golden-path templates that application teams use to self-serve infrastructure provisioning — requires engineering investment and ongoing maintenance. Cloud engineers who build these platforms for internal customers are developing skills in developer experience design that expand their career options into product and platform leadership.

Career progression leads to Staff Cloud Engineer, Principal Engineer, Platform Engineering Manager, or VP of Infrastructure. Total compensation including equity at senior levels at public tech companies ranges from $220K to $350K.

Dear Hiring Manager,

I'm applying for the Cloud Computing Engineer role at [Company]. I've been a cloud infrastructure engineer at [Company] for three years, working on a platform team that supports 40 internal application teams running on AWS.

My core infrastructure work is Terraform — we manage roughly 600 Terraform modules across 12 AWS accounts, and I've been the primary maintainer of the networking and IAM module libraries for the past two years. The work that gave me the most engineering satisfaction was rebuilding our multi-account IAM architecture last year. We had accumulated a tangle of inline policies and ad-hoc role grants from three years of rapid growth. I designed a new structure using AWS Organizations Service Control Policies for guardrails and a standardized role hierarchy that application teams could self-serve through a Terraform module rather than filing tickets with the platform team. IAM-related security findings in our posture scan dropped by 60% in the 90 days after rollout.

On the Kubernetes side, I own EKS cluster lifecycle management for our production clusters — upgrade planning and execution, node group management, Cluster Autoscaler tuning, and the Karpenter migration we completed in Q1 that reduced our average compute waste rate from 32% to 19%.

I hold the AWS Solutions Architect Professional and CKA certifications. I'm interested in [Company]'s platform engineering work specifically because your scale of internal developer tooling is larger than my current environment, and I want to develop the developer experience design skills that come with building platforms for more demanding internal customers.

[Your Name]