Occupation intelligence

cloud DevOps engineer

Snapshot

Are you fascinated by automation and cloud technologies? As a cloud DevOps engineer, you'll be at the forefront of streamlining software delivery, ensuring applications are deployed efficiently and reliably.

Summary

Cloud DevOps engineers are vital in modern software development, bridging the gap between development and operations teams. Your work focuses on automating and optimizing the software release lifecycle, particularly within cloud environments. You'll leverage infrastructure as code, automated testing, and continuous delivery pipelines to ensure rapid, reliable, and repeatable deployments. This role requires a strong understanding of both development practices and operational infrastructure.

Key responsibilities
  • • Managing and configuring code repositories and build services.
  • • Automating testing and deployment processes using DevOps tools and methodologies.
  • • Defining and deploying infrastructure as code for cloud-based workloads.
43%
Resilience Score · 2026 (Higher is better)
Bachelor's or equivalent level 47% AI exposure
Start Career DNA assessment
Labour market

Where this occupation is in demand

Reported labour shortages and surpluses, by year. Published for occupation groups, not for individual job titles.

Shortage reportedSurplus reportedReported in another yearNot covered by this source

Deeper colour: reported the same way in more consecutive years.

Figures cover Information and communications technology professionals — 75 jobs including this one.

13 of 17 in shortage2025All 30 growing3.7Mopenings to 2035

In shortage: Belgium, Bulgaria, Cyprus, Czechia and 9 more.

Longest-running shortage: Czechia, 4 years.

Select a place on the map to see its figures.

About this source

Source: ELA/EURES labour shortages and surpluses. Readings are published at occupation-group level, and cover Europe. Editions differ in annex layout and country coverage, so a change between years does not always mean the labour market changed. Countries in grey were not reported, which is not the same as being in balance.

Explore More

Find your career path and explore the science behind our recommendations.

Guiding others? See NexPath for schools and practices.
Quick fit check

Could cloud DevOps engineer fit you?

Answer three quick questions. This is not a full assessment — it is a teaser to help you decide whether to compare your profile.

Progress0/3

Do you enjoy tasks that require Attention to Detail?

Do you enjoy tasks that require Dependability?

Do you enjoy tasks that require Analytical Thinking?

NexFuture™

Future Outlook for cloud DevOps engineer

The outlook for cloud DevOps engineer reflects a balanced mix of automation exposure and durable, human-led work.

How are these scores calculated?

The Resilience Score (0–100) estimates how structurally protected this occupation is from automation and AI disruption, based on task-level analysis. Higher scores mean more human-judgment-intensive tasks. AI Exposure shows the estimated percentage of task hours that current AI capabilities could affect. These are model-derived structural indicators, not predictions about individual job security.

Play the future

How could cloud DevOps engineer change as AI adoption grows?

This role is likely to change gradually, with AI supporting selected tasks rather than replacing the whole occupation.

Significant task-level transformation is estimated in 13 years (around 2039) under the selected Expected Pace scenario.
~40%
Resilience
Automation Risk
EXP~50%
Human advantage
MOAT~45%

Illustrative scenario based on task automatability — not a forecast. Values are rounded the further ahead you look.

2026
2033
2044
AI Adoption Speed:

How AI may change this role

Deterministic, model-based interpretation of current role signals — not a guarantee of replacement.

Human-owned 43% Human-owned
What still depends on people
  • automate cloud tasks
  • design for organisational complexity
  • manage disaster recovery plans
The Human Edge To stay ahead in this role, focus on cloud monitoring and reporting and cloud security and compliance. These human-centric skills are the hardest for AI to replicate in the next 20 years.
Assist 27% Assist
Where AI may become a co-pilot
  • implement cloud security and compliance
  • plan migration to cloud
  • do cloud refactoring
Automate 47% Automate
Tasks most exposed to automation
  • manage cloud data and storage
Detailed Analysis

Vital Signs & AI Vectors

AI Exposure Vectors

0-100%
AI / Machine Learning 27%

Exposure to AI-assisted analysis, pattern recognition, and predictive modelling tasks

Generative AI 6%

Exposure to content generation, creative augmentation, and large language model tools

Cognitive Software 1%

Exposure to workflow automation, decision-support software, and process digitisation

Robotic & Physical Automation 0%

Exposure to physical automation, robotics, and sensor-driven task displacement

Technical Details
Methodology: NexFuture v3.0 Sources: O*NET® 30.3, ESCO v1.2.1 Updated: Aug 2026

NexFuture v3.0 estimates automation exposure natively from ESCO essential-skill groups, weighted by skill mass and calibrated against expert anchors. Scores are probabilistic estimates, not guarantees. See the NexFuture Methodology White Paper for full details.

Measures automation exposure. It does not measure pay, demand, or how many jobs exist near you.

Day in the life

What people in this role usually do

Digital Technology

Day in the life

A typical day as a cloud DevOps engineer

09
09:00 · Morning
automate cloud tasks
Automate manual or repeatable processes to minimize management overhead. Evaluate cloud automation alternatives for network deployments and tool-based alternatives for network operations and management.
10
10:30 · Mid-morning
deploy cloud resource
Identify and execute steps required to provision cloud resources, such as networks, servers, storage, applications, GPUs, and services. Define the cloud global infrastructure and remediate deployment issues.
12
12:00 · Midday
design cloud architecture
Design a multi-tier cloud architecture solution, which tolerates faults and is fit for the workload and other business needs. Identify elastic and scalable computing solutions, select high-performing and scalable storage solutions, and choose high-performing database solutions. Identify cost-effective storage, computing, and database services in the cloud.
14
14:00 · Afternoon
design cloud networks
Apply cloud networking concepts and implement connectivity services of cloud. Given customer requirements, define network architectures on cloud, propose optimized designs based on the evaluation of an existing implementation. Evaluate and optimize cost allocations given a network design, its cloud resources, and application data flow.
15
15:30 · Late afternoon
design database in the cloud
Apply design principles for an adaptive, elastic, automated, loosely coupled databases making use of cloud infrastructure. Aim to remove any single point of failure through distributed database design.
17
17:00 · Wrap-up
design for organisational complexity
Determine cross-account authentication and access strategy for complex organizations (for example, an organization with varying compliance requirements, multiple business units, and varying scalability requirements). Design networks and multi-account cloud environments for complex organizations.

Task order is illustrative. Individual days vary.

Software & Technologies & Knowledge areas
Software & Technologies
3M Post-it AppABC CompilerABC: the AspectBench Compiler for AspectJAdaAdobe AcrobatAdobe ActionScriptAdobe After EffectsAdobe Creative Cloud softwareAdobe DreamweaverAdobe FlexAdobe IllustratorAdobe InDesignAdobe PhotoshopADO.NETAdvanced business application programming ABAPAirtableAJAXAlgorithmic language ALGOLAllaire ColdFusionAlteryx software
Knowledge areas
  • cloud monitoring and reporting

    The metrics and alarms utilizing cloud monitoring services, in particular performance and availability metrics.

  • cloud security and compliance

    Cloud security and compliance concepts, including shared responsibility model, cloud access management capabilities, and resources for security support.

  • cloud technologies

    The technologies which enable access to hardware, software, data and services through remote servers and software networks irrespective of their location and architecture.

  • DevOps

    The DevOps development approach is a methodology to design software systems and applications focused on the collaboration and between software programmers and other ICT professionals and automation.

  • ICT system programming

    The methods and tools required to develop system software, specifications of system architectures and interfacing techniques between network and system modules and components.

  • integrated development environment software

    The suite of software development tools for writing programs, such as compiler, debugger, code editor, code highlights, packaged in a unified user interface, such as Visual Studio or Eclipse.

Cross-sector skills
  • computer engineering
  • system backup best practice
Essential skills
designing ict systems or applications
  • design cloud architecture

    Design a multi-tier cloud architecture solution, which tolerates faults and is fit for the workload and other business needs. Identify elastic and scalable computing solutions, select high-performing and scalable storage solutions, and choose high-performing database solutions. Identify cost-effective storage, computing, and database services in the cloud.

  • design cloud networks

    Apply cloud networking concepts and implement connectivity services of cloud. Given customer requirements, define network architectures on cloud, propose optimized designs based on the evaluation of an existing implementation. Evaluate and optimize cost allocations given a network design, its cloud resources, and application data flow.

  • design database in the cloud

    Apply design principles for an adaptive, elastic, automated, loosely coupled databases making use of cloud infrastructure. Aim to remove any single point of failure through distributed database design.

programming computer systems
  • do cloud refactoring

    Optimise application to best use cloud services and features, migrate existing application code to run on cloud infrastructure.

  • develop with cloud services

    Write code that interacts with cloud services by using APIs, SDKs, and cloud CLI. Write code for serverless applications, translate functional requirements into application design, implement application design into application code.

developing solutions
  • automate cloud tasks

    Automate manual or repeatable processes to minimize management overhead. Evaluate cloud automation alternatives for network deployments and tool-based alternatives for network operations and management.

  • design for organisational complexity

    Determine cross-account authentication and access strategy for complex organizations (for example, an organization with varying compliance requirements, multiple business units, and varying scalability requirements). Design networks and multi-account cloud environments for complex organizations.

working with computers
  • plan migration to cloud

    Select existing workloads and processes for potential migration to the cloud and choose migration tools. Determine a new cloud architecture for an existing solution, plan a strategy for migrating existing workloads to the cloud.

setting up computer systems
  • deploy cloud resource

    Identify and execute steps required to provision cloud resources, such as networks, servers, storage, applications, GPUs, and services. Define the cloud global infrastructure and remediate deployment issues.

developing contingency and emergency response plans
  • manage disaster recovery plans

    Prepare, test and execute, when necessary, a plan of action to retrieve or compensate lost information system data.

performing risk analysis and management
  • implement cloud security and compliance

    Implement and manage security policies and access controls on cloud. Differentiate between the roles and responsibilities within the shared responsibility model.

managing information
  • manage cloud data and storage

    Create and manage cloud data retention. Identify and implement data protection, encryption, and capacity planning needs.

Skill DNA

Skill DNA

Work personality traits and values that define this role

Key traits you need
Attention to Detail Dependability Analytical Thinking Integrity Stress Tolerance Achievement/Effort Cooperation Persistence Initiative Adaptability/Flexibility Self-Control Independence Innovation Leadership Concern for Others Social Orientation
Key rewards you can expect
AchievementWorking Condit…RecognitionRelationshipsSupportIndependence
Career progression

Growth Pathways & Similar Roles

Explore typical career progression paths, adjacent skills, and similar roles to plan your next transition.

Career landscape

Where does cloud DevOps engineer fit?

This role
cloud DevOps engineer This role

Similarity scores based on skill overlap from ESCO data.

Common questions

Frequently asked questions

What skills are most important for a cloud DevOps engineer?
Strong proficiency in cloud platforms (like AWS, Azure, or Google Cloud), scripting languages (Python, Bash), configuration management tools (Ansible, Chef, Puppet), containerization technologies (Docker, Kubernetes), and CI/CD pipelines is essential. Familiarity with infrastructure-as-code tools like Terraform or CloudFormation is also highly valuable.
How does this role differ from a traditional system administrator?
While system administrators traditionally manage infrastructure manually, a cloud DevOps engineer focuses on automating infrastructure management and the software delivery pipeline. DevOps emphasizes collaboration and continuous improvement, while system administration often focuses on maintaining existing systems.
Is this a good career path for someone transitioning from a development or operations background?
Absolutely! Developers can leverage their coding skills to automate deployments, while operations professionals can apply their infrastructure knowledge to build robust and automated systems. The combination of both skillsets is highly sought after in this field.
Cloud DevOps Engineer — is there a shortage in Europe?
Yes. In the 2025 ELA/EURES edition, a shortage was reported in 13 of the 17 European countries that assessed this occupation group: Belgium, Bulgaria, Cyprus, Czechia and 9 more. Czechia has reported one for 4 consecutive years. These assessments are published per occupation group rather than per job title.
Cloud DevOps Engineer — what does it pay in the United States?
$133,080 a year at the median, as of 2025-05. State medians run from $79,380 to $174,410. Source: US Bureau of Labor Statistics. This is a United States figure and not a projection for Europe.