As of June 2026, DevOps Engineer has an AI-exposure score of 57/100 (Elevated exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

DevOps Engineer

57/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 53% of the roles we track. Median pay ~US$126,560.

Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.

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Data sources, not endorsements: O*NET task data, BLS employment/pay/demand, and Anthropic Economic Index signals.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 title match

Research, design, and develop computer and network software or specialized utility programs. Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis. Update software or enhance existing software capabilities. May work with computer hardware engineers to integrate hardware and software systems, and develop specifications and performance requirements. May maintain databases within an application area, working individually or coordinating database development as part of a team.

Common titles
Application DeveloperApplication Integration EngineerSoftware ArchitectSoftware DeveloperDeveloperInfrastructure Engineer
Typical preparation
Considerable Preparation Needed: Most of these occupations require a four-year bachelor's degree, but some do not. A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be...
Skills and knowledge
AutomationCloudReliability
Tools and technology
Amazon Web Services AWS softwareAtlassian JIRACC#C++Cascading style sheets CSS

Source: O*NET 29.1 title match - Software Developers, SOC 15-1252.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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DevOps Engineer tasks, by AI exposure

Automatable
  • Automate build and deploy pipelines
Action steps for this automatable task locked in the report.
Augmentable
  • Write infrastructure as code
  • Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system.
13 more augmentable tasks locked in the report.
Durable
  • Analyze user needs and software requirements to determine feasibility of design within time and cost constraints.
  • Consult with customers or other departments on project status, proposals, or technical issues, such as software system design or maintenance.
2 more durable tasks locked in the report.

We analyzed all 20 DevOps Engineer tasks — 1 automatable, 15 augmentable and 4 durable. The full task map — every task with exactly what to do about each — is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Safer role shortlist

5-10 adjacent roles with salary, demand, and reachability.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET + the Anthropic Economic Index + BLS — not generic ChatGPT advice.

Safer adjacent roles

Software Developer
82% skills overlap · Elevated exposure · ~US$132,270
57
7 more safer roles with salary, demand & a reachability map — in your Career Report.
AI-augmentation kit (prompt preview) You are my AI copilot for "Automate build and deploy pipelines". I'll paste the inputs; draft the first version and flag exactly what needs my judgment, then iterate until…
The full, copy-paste-ready prompt — one per exposed task — is in your Career Report.

Your AI-Safe Career Report

Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
Grounded in O*NET + the Anthropic Economic Index + BLS — personalized to your role.

Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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