As DevOps evolves into an AI-integrated ecosystem, companies are struggling to find professionals who understand both the tools and the systems they’re automating.
In 2025, DevOps isn’t just about Jenkins, Docker, and Kubernetes anymore — it’s about intelligent pipelines.
With AI-powered CI/CD, automated testing, and anomaly detection becoming the norm, DevOps roles demand more than tool knowledge. Yet a widening skills gap is emerging — especially among new hires.
“Many engineers can run a script. Few can explain what happens when it fails,” shared a DevOps Manager at a Fortune 500 tech company.
Current hiring trends show:
3 in 5 candidates lack real-world debugging experience.
Over 70% can’t write YAML pipelines without AI help.
Fewer than 20% are familiar with end-to-end observability systems.
This points to an urgent need for reskilling, not just certification.
Forward-looking companies are investing in training programs focused on core Unix, network theory, and system design to bridge this gap.