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Comparison · dataset August 2026

DevOps Engineer vs Site Reliability Engineer: which is more exposed to AI?

A 15-point gap separates these roles — Site Reliability Engineer is the more defensible seat.

DevOps Engineer sits at 58% time-weighted AI exposure against 43% for Site Reliability Engineer, a 15-point gap driven by the 40% of devops engineer work time that current models can already substitute outright. Site Reliability Engineer holds a larger human-critical core — 42% of the role's time sits in work like "mentor on-call engineers" that models score poorly on. Both roles sit inside Computer & Math, so the exposure difference reflects task design rather than a change of field.

15PP GAP

Seven dimensions, side by side.

METRICDEVOPS ENGINEERSITE RELIABILITY ENGINEERDELTA
AI exposure58%43%15pp gap
Resilience score70/10072/1002pt gap
Substitutable work time40%23%Fully automatable today
Human-critical work time34%42%Models score poorly here
Median salary$126k$135k$9k apart
10-year growth14%18%Site Reliability Engineer
US workforce142k180kBLS OEWS
Task level

What actually creates the gap.

DevOps Engineers spend 40% of their time-weighted week on tasks a current model can produce end-to-end, against 23% for Site Reliability Engineers. The single largest contributor is "author runbooks and documentation", graded at 82% and worth 8% of the role's time. That one task accounts for more of the gap than any difference in seniority, tooling, or industry.

DevOps Engineer
MOST EXPOSED TASKS
  • Author runbooks and documentation82% · 8% time
  • Write infrastructure-as-code (Terraform, Helm)78% · 18% time
  • Write CI/CD pipeline configuration74% · 14% time
HUMAN-CRITICAL CORE
  • Cross-team reliability planning14% · 8% time
  • Platform architecture decisions19% · 10% time
  • Incident response and post-mortems22% · 16% time
Site Reliability Engineer
MOST EXPOSED TASKS
  • Write runbooks and documentation85% · 6% time
  • Draft infrastructure-as-code80% · 8% time
  • Generate postmortem first drafts78% · 4% time
  • Build monitoring dashboards72% · 5% time
HUMAN-CRITICAL CORE
  • Mentor on-call engineers12% · 4% time
  • Negotiate SLOs with product teams15% · 8% time
  • Command live incidents18% · 16% time
What transfers

Both roles lean on procedural, cognitive, judgement — that is the part of your experience that travels intact. Beyond that, the two capability profiles are unusually close: no dimension separates them by more than 15 points, which is why the switch difficulty below reads the way it does.

Switching between them
LowDIFFICULTY

Site Reliability Engineer appears in our dataset as a mapped adjacent career for DevOps Engineers: the move lowers exposure by 15 points, landing at 43%. Switch difficulty reads low — capability profiles are 7 points apart on average and both sit in the same family.

Score your own exposure in 8 questions →

Common questions.

Is DevOps Engineer or Site Reliability Engineer more at risk from AI?

DevOps Engineer. It scores 58% time-weighted AI exposure against 43% for Site Reliability Engineer — a 15-point gap. 40% of devops engineer work time is already fully substitutable by current models, versus 23% for Site Reliability Engineers.

Which pays more, DevOps Engineer or Site Reliability Engineer?

Site Reliability Engineer, by roughly $9k at the median ($135k versus $126k). Note that the higher-paying role here is also the less AI-exposed one, which matters if you are weighing pay against durability.

Can a devops engineer switch to being a site reliability engineer?

Site Reliability Engineer appears in our dataset as a mapped adjacent career for DevOps Engineers: the move lowers exposure by 15 points, landing at 43%. Switch difficulty reads low — capability profiles are 7 points apart on average and both sit in the same family.

Which role is growing faster, DevOps Engineer or Site Reliability Engineer?

Site Reliability Engineer, at 18% projected ten-year growth versus 14% — a 4-point difference. Growth and AI exposure are separate signals: a role can grow in headcount while the content of the work is substantially rewritten.

Career families
Computer & Math
Methodology
Scores are time-weighted across each role's canonical O*NET tasks, graded against current frontier-model capability. How we score.