Other

Junior DevOps Engineer

Based on 10 assessments

49% Moderate risk

Average realistic automation risk across all Junior DevOps Engineer profiles in the dataset.

Raw potential
86%
Realistic risk
49%
Research benchmark ?
51%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 10 profiles. Middle half of Junior DevOps Engineers score between 45% and 56%.

0% 50% 100%
p10 · 40%
58% · p90
On-screen work 94%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 0%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 6%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Junior DevOps Engineer, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Troubleshooting production incidents: investigating failures, analyzing logs, identifying root causes, communicating status to teams
deep expertise
33% DD 25%
Deploying applications to production using CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI); monitoring and rolling back when needed
18% DD 55%
Monitoring system health and performance; setting up alerts, dashboards, and metrics collection (Prometheus, DataDog, CloudWatch)
17% DD 48%
Managing container orchestration: deploying, scaling, and maintaining Kubernetes clusters or Docker Swarm environments
11% DD 52%
Code reviews and documentation: reviewing infrastructure changes, writing runbooks, maintaining deployment guides and architecture diagrams
deep expertise
10% DD 14%
Collaborating with developers and senior engineers: attending standups, discussing architectural decisions, mentoring on deployment best practices
deep expertise
8% AA 8%
Provisioning and configuring cloud infrastructure (EC2, VPCs, load balancers, databases) using Infrastructure-as-Code tools like Terraform or CloudFormation
2% DD 84%

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