Technology
DevOps Engineer
Based on 36 assessments
39%
Moderate risk
Average realistic automation risk across all DevOps Engineer profiles in the dataset.
Score spread
Distribution across 36 profiles.
Middle half of DevOps Engineers score between 37% and 41%.
0%
50%
100%
Task breakdown by work type
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer input, real-world output — needs someone to act on it, not just software.
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a DevOps Engineer, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
Collaborating with development teams to debug application issues, optimize performance, and ensure smooth deployments
deep expertise
social core
33%
AD
11%
Monitoring system performance, logs, and metrics (e.g., using Prometheus, Grafana, ELK Stack) to identify and troubleshoot issues in real-time
deep expertise
social element
23%
DD
28%
Designing, implementing, and managing CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI) to automate build, test, and deployment processes
16%
DD
52%
Writing and maintaining infrastructure-as-code (IaC) scripts (e.g., Terraform, CloudFormation) to automate cloud resource provisioning and management
16%
DD
53%
Managing and configuring cloud services (e.g., AWS, Azure, GCP) including networking, security, and scaling resources based on demand
7%
DD
54%
Creating and maintaining documentation for infrastructure, deployment processes, and incident response procedures
2%
DD
50%
Responding to on-call incidents, diagnosing root causes, and implementing fixes or workarounds to restore service
deep expertise
social core
1%
DD
17%
Designing, implementing, and managing CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI) to automate build, test, and deployment processes
29%
DD
51%
Managing and configuring cloud services (e.g., AWS, Azure, GCP) including networking, security, and scaling resources based on demand
19%
DD
58%
Monitoring system performance, logs, and metrics (e.g., using Prometheus, Grafana, ELK Stack) to identify and troubleshoot issues in real-time
deep expertise
social element
16%
DD
23%
Collaborating with development teams to debug application issues, optimize performance, and ensure smooth deployments
deep expertise
social core
14%
AD
12%
Writing and maintaining infrastructure-as-code (IaC) scripts (e.g., Terraform, CloudFormation) to automate cloud resource provisioning and management
10%
DD
50%
Creating and maintaining documentation for infrastructure, deployment processes, and incident response procedures
9%
DD
48%
Responding to on-call incidents, diagnosing root causes, and implementing fixes or workarounds to restore service
deep expertise
social core
1%
DD
14%
Designing, implementing, and managing CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI) to automate build, test, and deployment processes
31%
DD
48%
Creating and maintaining documentation for infrastructure, deployment processes, and incident response procedures
24%
DD
76%
Managing and configuring cloud services (e.g., AWS, Azure, GCP) including networking, security, and scaling resources based on demand
15%
DD
55%
Writing and maintaining infrastructure-as-code (IaC) scripts (e.g., Terraform, CloudFormation) to automate cloud resource provisioning and management
14%
DD
45%
Collaborating with development teams to debug application issues, optimize performance, and ensure smooth deployments
deep expertise
social core
11%
AD
10%
Monitoring system performance, logs, and metrics (e.g., using Prometheus, Grafana, ELK Stack) to identify and troubleshoot issues in real-time
deep expertise
social element
1%
DD
26%
Responding to on-call incidents, diagnosing root causes, and implementing fixes or workarounds to restore service
deep expertise
social core
1%
DD
8%
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