← Explore professions

Technology

Site Reliability Engineer

Based on 38 assessments

43% Moderate risk

Average realistic automation risk across all Site Reliability Engineer profiles in the dataset.

Raw potential
82%
Realistic risk
43%
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 38 profiles. Middle half of Site Reliability Engineers score between 37% and 49%.

0% 50% 100%
p10 · 35%
51% · p90
On-screen work 84%

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

In-person + screen 11%

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

Computer + action 6%

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

Fully in-person 0%

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

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

Task Time Type Exposure
Collaborating with development teams to improve application reliability, including reviewing code changes, setting SLOs/SLIs, and refining deployment pipelines
deep expertise social element
18% AD 11%
Designing and implementing infrastructure as code (IaC) using tools like Terraform or Kubernetes to ensure reproducible and scalable environments
18% DD 60%
Participating in on-call rotations to respond to critical incidents outside business hours, including coordinating fixes and communicating updates to stakeholders
deep expertise
16% DA 5%
Monitoring system health and performance metrics using dashboards and alerting tools (e.g., Prometheus, Grafana, Datadog) to detect anomalies or outages
16% DD 53%
Writing and maintaining automation scripts (e.g., Python, Bash, Go) to deploy, scale, or repair infrastructure without manual intervention
deep expertise
15% DD 33%
Investigating and troubleshooting incidents (e.g., service degradations, latency spikes) by analyzing logs, traces, and system behavior to identify root causes
deep expertise social element
10% DD 30%
Documenting incident postmortems, runbooks, and operational procedures to improve team knowledge and reduce future downtime
5% DD 53%

Work as a Site Reliability Engineer? Map your specific role.

Start assessment →