DevOps Engineer
DevOps Engineer — AI exposure, safer roles, and a pivot plan.
This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.
Most exposed tasks
Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.
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Automate build and deploy pipelines64
Augmentable tasks
Work where AI assists rather than replaces — the productivity frontier of this role.
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Write infrastructure as code58
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Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system.55
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Confer with data processing or project managers to obtain information on limitations or capabilities for data processing projects.55
Most durable tasks
Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.
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Design resilient architecture28
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Analyze user needs and software requirements to determine feasibility of design within time and cost constraints.33
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Consult with customers or other departments on project status, proposals, or technical issues, such as software system design or maintenance.33
Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.
What this means
A score of 45 puts DevOps Engineer in the second quartile of analyzed occupations. In practice, exposure this level is about the mix: 1 of 20 analyzed tasks lean automatable, 15 augmentable, and 4 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.
One next move: adopt AI deliberately on the augmentable tasks and build visible evidence of the durable ones.
Lower-exposure adjacent roles
Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.
Labor-market context
- $126,560median wage
- +20.0%projected growth
Context only — labor statistics are not inputs to the exposure score. See methodology.
Your week probably doesn’t match the average
This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.
Personalize my result — $9Related roles
Adjacent by skills or family — no exposure claim implied.
FAQ — DevOps Engineer
- What does a score of 45 mean for a DevOps Engineer?
- It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 45 on a 0–100 exposure scale — in the second quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
- Which tasks in this role are most exposed to AI?
- The highest-exposure tasks are: Automate build and deploy pipelines. Exposure is scored per task from structured data, not generated by a language model.
- Which parts of this job are most durable?
- The most durable responsibilities are: Design resilient architecture; 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. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
- Is this score personalized to me?
- No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.
Score version jr-v1 · data release 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 16 of 20 tasks carry source-level provenance · methodology