IT & Software

DevOps Engineer

Automates and maintains the infrastructure and pipelines that ship and run software.

AI displacement risk 36% Medium

Average salary $125,000

Salary trend ↗ Rising

Why this risk score

AI generates infrastructure-as-code and troubleshooting suggestions, but designing resilient pipelines, handling incidents, and balancing security and cost need experienced oversight. Automation is the job, so practitioners adapt quickly.

Core tasks

CI/CD pipelines
Infrastructure as code
Monitoring
Incident response
Cloud provisioning
Automation

Outlook

AI copilots handle routine scripting while engineers focus on reliability, security, and architecture, keeping demand steady.

Skills to build now

Specialist Skills Advanced

System Design

When AI writes the code, the upstream power to decide what to build. Hard to replace and rising in demand.

Market value High ~200h to learn

AI Skills Beginner

AI Fluency

The foundational skill everyone needs, regardless of role. Whether you can build AI into daily work decides your productivity.

Market value High ~40h to learn

Core Skills Intermediate

Critical Thinking & Judgment

The ability to question AI output, spot errors, and decide. As AI does more, human judgment becomes the scarce asset.

Market value High ~150h to learn

Recommended AI tools for this job

AI Coding Intermediate

Claude Code

An agentic coding AI in your terminal that plans, implements, and fixes autonomously. Built for developers.

Included with Claude Pro $20 / Max from $100 / Team $25 per seat Paid only

AI Coding Beginner

GitHub Copilot

An AI pair programmer that autocompletes code in your editor. Easy to adopt and a proven entry point.

Free / Pro $10 / Pro+ $39 / Max $100 per month Free plan

AI Coding Intermediate

Cursor

An AI-powered code editor. Completion, chat, and auto-edits dramatically speed up coding.

Free / Pro $20 / Pro+ $60 / Ultra $200 per month Free plan

Frequently asked questions

Will AI replace DevOps Engineers?

Partly — some tasks will be automated while others stay human. AI generates infrastructure-as-code and troubleshooting suggestions, but designing resilient pipelines, handling incidents, and balancing security and cost need experienced oversight. Automation is the job, so practitioners adapt quickly.