Occupation intelligence

cloud engineer

Key facts

Are you fascinated by technology and eager to build the infrastructure that powers modern applications? As a cloud engineer, you'll be at the forefront of designing, managing, and maintaining cloud-based systems, playing a vital role in how businesses operate in today's digital world.

Summary

Cloud engineers are in demand as organizations increasingly move their operations to the cloud. Your day-to-day work involves a blend of technical design, hands-on implementation, and ongoing maintenance. You'll be responsible for ensuring cloud systems are reliable, secure, and scalable, often working with a variety of cloud platforms and tools. This role is ideal for individuals who enjoy problem-solving and thrive in a fast-paced, evolving environment.

Key responsibilities
  • • Designing and implementing cloud-based applications and infrastructure.
  • • Migrating existing applications from on-premise environments to the cloud.
  • • Monitoring and troubleshooting cloud systems to ensure optimal performance and stability.
42%
Resilience Score · 2026 (Higher is better)
Bachelor's or equivalent level 48% 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 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 engineer

The outlook for cloud 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 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~55%
Human advantage
MOAT~40%

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 42% Human-owned
What still depends on people
  • respond to incidents in cloud
  • automate cloud tasks
  • design for organisational complexity
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 31% Assist
Where AI may become a co-pilot
  • analyse business requirements
  • implement cloud security and compliance
  • plan migration to cloud
Automate 48% 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 31%

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

Generative AI 5%

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

Robotic & Physical Automation 0%

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

Cognitive Software 0%

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

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

Arts, Entertainment, & Design

Day in the life

A typical day as a cloud engineer

09
09:00 · Morning
analyse software specifications
Assess the specifications of a software product or system to be developed by identifying functional and non-functional requirements, constraints and possible sets of use cases which illustrate interactions between the software and its users.
10
10:30 · Mid-morning
align software with system architectures
Put system design and technical specifications in line with software architecture in order to ensure the integration and interoperability between components of the system.
12
12:00 · Midday
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.
14
14:00 · Afternoon
debug software
Repair computer code by analysing testing results, locating the defects causing the software to output an incorrect or unexpected result and remove these faults.
15
15:30 · Late afternoon
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.
17
17:00 · Wrap-up
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.

Task order is illustrative. Individual days vary.

Software & Technologies & Knowledge areas
Software & Technologies
3M Post-it AppAdobe AcrobatAdobe ActionScriptAdobe AIRAdobe Creative Cloud softwareAdobe DreamweaverAdobe FlexAdobe FrameMakerAdobe PhotoshopAdvanced business application programming ABAPAJAXAltia DesignAmazon DynamoDBAmazon Elastic Compute Cloud EC2Amazon RedshiftAmazon Simple Storage Service S3Amazon Web Services AWS CloudFormationAmazon Web Services AWS softwareAnsible softwareAonix Software Through Pictures
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.

  • cyber security

    The methods and best practices that protect ICT systems, networks, computers, devices, services, processes and people against unauthorised access, modification and/or denial of service of assets.

  • database development tools

    The methodologies and tools used for creating logical and physical structure of databases, such as logical data structures, diagrams, modelling methodologies and entity-relationships.

  • ICT system integration

    The principles of integrating ICT components and products from a number of sources to create an operational ICT system, techniques which ensure interoperability and interfaces between components and the system.

Cross-sector skills
  • computer programming
Essential skills
programming computer systems
  • debug software

    Repair computer code by analysing testing results, locating the defects causing the software to output an incorrect or unexpected result and remove these faults.

  • 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.

  • develop software prototype

    Create a first incomplete or preliminary version of a piece of software application to simulate some specific aspects of the final product.

  • analyse software specifications

    Assess the specifications of a software product or system to be developed by identifying functional and non-functional requirements, constraints and possible sets of use cases which illustrate interactions between the software and its users.

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.

developing solutions
  • respond to incidents in cloud

    Troubleshoot issues with the cloud and determine how to restore operations. Design and automate disaster recovery strategies and evaluate a deployment for points of failure.

  • 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.

setting up computer systems
  • align software with system architectures

    Put system design and technical specifications in line with software architecture in order to ensure the integration and interoperability between components of the system.

  • 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.

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.

interpreting technical documentation and diagrams
  • interpret technical texts

    Read and understand technical texts that provide information on how to perform a task, usually explained in steps.

resolving computer problems
  • solve ICT system problems

    Identify potential component malfunctions. Monitor, document and communicate about incidents. Deploy appropriate resources with minimal outage and deploy appropriate diagnostic tools.

analysing business operations
  • analyse business requirements

    Study clients' needs and expectations for a product or service in order to identify and resolve inconsistencies and possible disagreements of involved stakeholders.

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.

Common questions

Frequently asked questions

What skills are most important for a cloud engineer?
Strong technical skills are essential, including experience with cloud platforms (like AWS, Azure, or Google Cloud), scripting languages (like Python or Bash), and infrastructure-as-code tools. Problem-solving abilities, attention to detail, and a willingness to learn new technologies are also crucial.
Is this a good career path for someone without a traditional computer science background?
Absolutely! While a computer science degree can be helpful, many cloud engineers come from diverse backgrounds. A strong foundation in IT, coupled with relevant certifications and a commitment to continuous learning, can be just as valuable. The field values practical experience and a proactive approach to skill development.
What does 'debugging cloud stacks' actually mean?
Debugging cloud stacks refers to identifying and resolving issues within the complex layers of software and services that make up a cloud environment. It involves analyzing logs, monitoring system performance, and using diagnostic tools to pinpoint the root cause of problems and implement solutions to restore functionality.
Cloud 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 Engineer — what does it pay in the United States?
$108,970 a year at the median, as of 2025-05. State medians run from $60,470 to $156,590. Source: US Bureau of Labor Statistics. This is a United States figure and not a projection for Europe.