DevOps Engineers
DevOps Engineers bridge software development and IT operations, building and maintaining the infrastructure, tools, and processes that enable teams to deploy software quickly and reliably. They design CI/CD pipelines, manage cloud infrastructure, implement monitoring systems, and automate operational tasks to improve developer productivity and system reliability. These professionals work in technology companies, financial services, healthcare, and any organization with significant software development. The role requires both strong coding skills and deep understanding of systems, networking, and security. DevOps Engineers collaborate closely with development teams, SREs, and security teams to create efficient and secure software delivery processes. This career offers excellent compensation, high demand, and diverse opportunities across industries. DevOps Engineers can advance to Staff/Principal roles, move into Site Reliability Engineering (SRE), become Platform Engineers, or transition to infrastructure architecture and engineering leadership positions.
π€AI Resilience Assessment
AI Resilience Score
DevOps Engineers have medium AI exposure because AI tools can assist with writing infrastructure code, generating configurations, and troubleshooting issues. However, the role requires significant judgment in designing reliable systems, understanding security implications, balancing cost and performance, and responding to novel incidents. AI tools augment DevOps work by accelerating routine tasks while humans handle architecture decisions, complex debugging, and organizational processes. Strong job growth continues as organizations invest in cloud infrastructure and automation.
How we calculated this:
40% of tasks can be accelerated by AI
+20% projected (2024-2034)
EPOCH score: 14/25
πKey Responsibilities
- β’Design and maintain CI/CD pipelines for automated software delivery
- β’Provision and manage cloud infrastructure using Infrastructure as Code
- β’Implement monitoring, alerting, and observability systems
- β’Automate operational tasks and reduce manual toil
- β’Manage container orchestration platforms (Kubernetes)
- β’Respond to incidents and participate in on-call rotations
- β’Implement security best practices and compliance requirements
- β’Optimize cloud costs and resource utilization
πCareer Progression
What does this mean?
This shows how earnings typically grow with experience. Entry level represents starting salaries, while Expert shows top earners (90th percentile). Most workers reach mid-career earnings within 5-10 years. Figures are national averages and vary by location and employer.
πEducation & Training
Requirements
- β’Entry Education: Bachelor's degree
- β’Experience: 1-2 years
- β’On-the-job Training: None
Time & Cost
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πData Sources
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