GCP Prep

Cloud Engineer Skills

4 min readUpdated August 24, 2026

Job adverts list twenty technologies and mean about six. This is what cloud engineering roles genuinely require, roughly in the order worth learning them.

Table of contents

The non-negotiable foundation

  • Linux and the command line. You will spend a great deal of time here. Comfort with shell, processes, permissions, networking tools and log files is assumed rather than taught.
  • Networking fundamentals. IP addressing, subnets, routing, DNS, TLS and HTTP. More cloud problems are networking problems than any other kind.
  • One programming language. Python is the common choice. You need enough to automate work and read other people's code, not to build applications.
  • Version control. Branching, merging, pull requests and resolving conflicts without anxiety.

Core cloud skills

  • Identity and access management. The most consequential and most commonly misconfigured area. Roles, inheritance, service accounts and least privilege.
  • Compute. Virtual machines, containers and serverless runtimes, and the judgement to choose between them.
  • Storage and databases. Object versus block versus file, relational versus document versus wide-column, and matching each to an access pattern.
  • Networking in the cloud. VPCs, subnets, firewall rules, load balancing and private connectivity to managed services.
  • Observability. Metrics, logs and traces; designing alerts people act on rather than ignore.

The skills that separate candidates

  • Infrastructure as code. Almost universally expected and only lightly covered by certifications. Being able to define an environment declaratively and rebuild it reliably is a strong differentiator.
  • CI/CD pipelines. Building and testing automatically, promoting a single artefact through environments, and rolling back safely.
  • Containers, properly. Not just running them — image layering, size, security scanning and why a small base image matters.
  • Cost awareness. Very few junior engineers can discuss cost credibly. Being able to explain where money goes and how to reduce it stands out immediately.
  • Security thinking. Least privilege as a habit, secrets handled properly, and understanding what a compromise would actually reach.

The non-technical skills nobody lists

  • Writing clearly. Design documents, post-mortems and runbooks. Disproportionately rewarded and consistently scarce.
  • Debugging methodically. Forming a hypothesis, testing it, narrowing down. The difference between fixing a problem and changing things until it goes away.
  • Saying no with a reason. Pushing back on a request while explaining the trade-off, rather than either refusing or silently absorbing it.
  • Asking good questions. Knowing what you do not know and asking early is a senior trait, not a junior weakness.
  • Staying calm during incidents. Systems fail. The engineer who works the problem methodically while others panic becomes indispensable quickly.

A sensible learning order

  1. 1Linux, networking fundamentals, Git and basic Python
  2. 2Cloud fundamentals — hierarchy, regions, billing, IAM
  3. 3Compute, storage and cloud networking
  4. 4Containers and one orchestration platform
  5. 5Infrastructure as code
  6. 6CI/CD and deployment strategies
  7. 7Observability and incident practice
  8. 8One specialisation: security, data, networking or reliability