DevOps Engineer
SOC 15-1299.00 · ESCO 2512 · OSCA 273332
Role snapshot
Overview
Builds and maintains the automated pipelines that compile, test, and deploy software, while monitoring production systems and responding to incidents to keep services reliable. This role focuses on bridging the gap between development and operations, ensuring efficient, scalable, and secure software delivery.
Enables faster, more reliable, and more frequent software releases, improving product quality, system stability, and overall organizational efficiency. Reduces manual effort and human error through automation.
On the job
- Design and implement continuous integration and continuous delivery (CI/CD) pipelines
- Manage and provision cloud infrastructure using Infrastructure as Code (IaC) tools
- Monitor system performance, troubleshoot issues, and respond to incidents to maintain uptime
- Automate operational tasks and workflows to improve efficiency and reduce manual intervention
- Collaborate with development and operations teams to foster a culture of shared responsibility and continuous improvement
Tools & technology
Average salary
Job outlook
ExcellentNew job opportunities are highly likely. Demand significantly outpaces supply in most markets.
Education & training
Bachelor's degree in Computer Science, Software Engineering, or a related technical field is typically required.
AI impact outlook
Note — this is our current view. AI is moving fast, so we revisit these ratings.
Show how this was assessed Hide the detail
Note — this is our current view. AI is moving fast, so we revisit these ratings.
Show how this was assessed Hide the detailWhy this role received this rating
Core task exposure
high
How much of the role’s important work could AI perform?
AI can generate CI/CD pipeline configurations, automate routine operational tasks, and identify performance bottlenecks in infrastructure.
End-to-end automation
low
Can AI complete the work without substantial human involvement?
Designing complex, resilient cloud architectures, responding to novel incidents, and fostering a culture of shared responsibility require significant human oversight.
Adoption pressure
high
How likely are employers to introduce AI into this work?
The core tenets of DevOps revolve around automation, leading to very high employer pressure to adopt AI tools for efficiency and reliability.
Human dependence
strong
How much does success depend on human judgement, relationships and accountability?
Complex system design, incident response under pressure, strategic infrastructure planning, and cross-functional communication require high human judgment.
Protective — a higher rating lowers the overall score.
Role adaptability
strong
How easily can the role evolve as AI takes on more tasks?
DevOps is an inherently dynamic field, demanding continuous adaptation to new cloud platforms, tools, and automation practices.
Shown for context — not part of the score.
What AI may take on
These are the parts of the role most likely to be automated or significantly accelerated.
- Generating CI/CD pipeline configurations (e.g., Jenkins, GitLab CI YAML)
- Automating routine infrastructure provisioning via Infrastructure as Code templates
- Predictive analysis of system performance and resource utilization
- Automating incident response playbooks for known issues
- Drafting operational runbooks and system documentation
Where people remain essential
These parts continue to depend heavily on human judgement, relationships and accountability.
- Designing resilient, scalable, and secure cloud infrastructure architectures
- Responding to novel and critical production incidents under pressure
- Strategic planning for cloud cost optimization and resource management
- Fostering a culture of collaboration and shared responsibility between dev and ops
- Deep troubleshooting of complex distributed system issues
- Implementing and enforcing compliance and governance policies
How the role may evolve
Automation as a given; resilience and strategic ops as the goal.
The role evolves from manually building pipelines to strategically leveraging AI for automated operations, focusing human effort on designing highly resilient systems, proactive problem-solving, and driving organizational change.
Strengthen your future fit
- Mastery of advanced cloud architecture and distributed systems design
- Expertise in incident management and crisis response
- Strong skills in observability, monitoring, and logging for AI-driven systems
- Proficiency in leveraging AI for predictive analytics and automation
- Leadership and communication skills for fostering DevOps culture
- Assessment horizon
- 3–7 years
- Confidence
- High
- Last reviewed
- August 2026
- Methodology
- v1.0
This assessment reflects current AI capabilities and expected adoption patterns. Actual impacts will vary by industry, employer and the way each role is performed.
Career pathways
WHERE YOU COULD GO
CURRENT ROLE
DevOps Engineer
Software Development
ADJACENT MOVES
STARTING POINTS
Who thrives here
Interest profile
conventional · CRI
People who enjoy working with systematic processes, hands-on technical problem-solving, and analytical investigation of complex systems tend to thrive in this role.
Personality characteristics
Curious
Enjoys exploring new technologies, tools, and methodologies to improve systems.
Methodical
Approaches system design, automation, and troubleshooting with precision and attention to detail.
Resilient
Maintains composure and focus when responding to critical incidents or under pressure.
Analytical
Driven to diagnose complex technical issues, identify root causes, and implement effective solutions.
Organized
Ensures clarity and consistency in infrastructure configurations, code, and documentation.
Best for
- People who enjoy building, automating, and optimizing complex technical infrastructure.
- Engineers who thrive on ensuring system reliability and efficiency through code and process.
- Individuals who are methodical problem-solvers and enjoy collaborating with both development and operations teams.
Watch out for
- Occasional on-call duties or incident response may require work outside of standard hours, including weekends.
- Requires continuous learning and adaptation to rapidly evolving technologies and tools.
- Balancing proactive development with reactive incident response can be demanding.
A week in the life
A representative working week for a DevOps Engineer — where the deep work, meetings, and admin actually land.
Real people. Real results.
Thousands of people
can't be wrong.
Frequently asked questions about DevOps Engineer roles
What does a DevOps Engineer do?
A DevOps Engineer builds and maintains the automated pipelines that compile, test, and deploy software, while monitoring production systems and responding to incidents to keep services reliable. This role focuses on bridging the gap between development and operations, ensuring efficient, scalable, and secure software delivery. Enables faster, more reliable, and more frequent software releases, improving product quality, system stability, and overall organizational efficiency. Reduces manual effort and human error through automation.
How much does a DevOps Engineer earn?
A DevOps Engineer earns a median of $130,000 per year in the US, typically ranging from $95,000 to $170,000.
What qualifications do you need to become a DevOps Engineer?
To become a DevOps Engineer, bachelor's degree in Computer Science, Software Engineering, or a related technical field is typically required.
What personality suits a DevOps Engineer?
DevOps Engineer roles tend to suit people who are highly conscientious — precise, organised and strong on follow-through (Conscientiousness 82/100) and open and curious — drawn to variety, ideas and new approaches (Openness 72/100). The traits that matter most in the role are Curious, Methodical, Resilient and Analytical. Enjoys exploring new technologies, tools, and methodologies to improve systems. On interests, DevOps Engineer maps to a CRI Holland Code profile — people who enjoy working with systematic processes, hands-on technical problem-solving, and analytical investigation of complex systems tend to thrive in this role.
Who does a DevOps Engineer role suit?
A DevOps Engineer role is usually a strong fit for these reasons. Strong Conventional and Realistic alignment: the role requires systematic thinking and hands-on technical work with complex systems. A large portion of the week is dedicated to deep work, focusing on automation, infrastructure, and problem-solving. The role rewards individuals who are highly conscientious, methodical, and resilient under pressure.
What are the downsides of being a DevOps Engineer?
DevOps Engineer roles come with trade-offs worth weighing up. Occasional on-call duties or incident response may require work outside of standard hours, including weekends. Requires continuous learning and adaptation to rapidly evolving technologies and tools. Balancing proactive development with reactive incident response can be demanding.
What is the work environment like for a DevOps Engineer?
Work as a DevOps Engineer is mostly office-based with hybrid arrangements common, semi-structured — a mix of set processes and self-directed work and medium exposure to clients or stakeholders. Around 60% of the week is focused deep work.
What skills do you need to be a DevOps Engineer?
Core skills for a DevOps Engineer include Cloud Infrastructure Management, CI/CD Pipeline Development, Container Orchestration, Scripting (Python, Bash, Go), System Monitoring and Alerting and Incident Response and Troubleshooting.
How do you become a DevOps Engineer?
Common entry routes into DevOps Engineer roles include Junior Software Developer, System Administrator, Network Engineer and Cloud Support Specialist.
What career progression is there for a DevOps Engineer?
From a DevOps Engineer role, common next steps include Senior DevOps Engineer, Site Reliability Engineering (SRE) Lead and Cloud Architect; lateral moves include Software Engineer and Security Engineer.
What is the job outlook for DevOps Engineer roles?
The outlook for DevOps Engineer roles is currently rated excellent. New job opportunities are highly likely. Demand significantly outpaces supply in most markets.
Will AI replace DevOps Engineer roles?
Traitstack rates automation risk for DevOps Engineer roles at 57 out of 100, which is moderate. Automated CI/CD and infrastructure provisioning are AI-assisted, reserving human expertise for strategic system design, incident response, and fostering collaborative culture. AI is most likely to take on generating ci/cd pipeline configurations (e.g., jenkins, gitlab ci yaml), automating routine infrastructure provisioning via infrastructure as code templates and predictive analysis of system performance and resource utilization. Designing resilient, scalable, and secure cloud infrastructure architectures, responding to novel and critical production incidents under pressure and strategic planning for cloud cost optimization and resource management stay with people. Automation as a given; resilience and strategic ops as the goal. That score measures how much of the work could change, not the likelihood the job disappears. It is Traitstack's current view, revisited as AI capability moves.