20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You usually split time between coding automation (CloudFormation, Terraform), monitoring deployed services (EC2, DynamoDB, Redshift) and fixing breakages. Morning often starts with checking alerts and logs, triaging incidents, and deploying small fixes.
Afternoons are for planned work: writing deployment pipelines, reviewing colleagues' code, updating documentation of the deployment process, and running tests before release. You also meet product or SRE teams to plan changes and train users on new tools.
Start with Amazon EC2 for virtual servers, Amazon DynamoDB for NoSQL storage, and AWS CloudFormation for automating infrastructure as code. Those three cover compute, storage, and provisioning — the core of many DevOps tasks.
Next add Amazon Redshift if you expect to handle analytics, and basic AWS IAM (identity) for security. Practice by building a small app, deploying it to EC2, storing data in DynamoDB, and automating the stack with CloudFormation.
The U.S. Bureau of Labor Statistics (BLS) reports the median annual pay for similar roles as $135,980 per year, with the lowest tenth at $82,460 and the top tenth at $214,670. That gives the salary range you can expect depending on experience and location.
BLS also lists about 1,687,890 employed in related computing occupations in 2025, which helps explain demand. Use these numbers to set realistic expectations when negotiating.
Treat AI outputs as suggestions, not final code. When an AI writes CloudFormation templates or scripts that touch EC2 or DynamoDB, review every line for IAM permissions, secret handling, and resource limits before running them.
Keep production secrets out of prompts, run generated scripts in a staging environment, and include automated tests. Never deploy unverified changes directly to production — use your CI/CD pipeline and code reviews to catch errors.
DevOps Engineers straddle both roles: like software engineers they write code, build deployment pipelines, and review code. Unlike a pure software engineer, they focus on deployment, automation, monitoring, and system performance standards.
Compared with a systems administrator, a DevOps Engineer programs infrastructure (CloudFormation, scripts), builds CI/CD, and collaborates closely with developers. They usually automate routine ops tasks rather than performing them manually.
Show you can write infrastructure as code (CloudFormation or similar), create and run an EC2 instance, and connect an app to DynamoDB. Be ready to explain a deployment you automated and how you tested it.
Also demonstrate incident handling: describe a time you debugged a production error, what logs or metrics you used, and how you rolled back or patched the release. Employers want practical, shown experience.