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skills & motivations.

This section provides a breakdown of the inherent skills, learned skills and motivations/aspirations for each skill cluster. Inherent skills and motivations/aspirations combined are commonly defined as “soft skills” in the market.

inherent skills

  1. 1. problem-solving ability
  2. 2. analytical thinking
  3. 3. interest in technology
  4. 4. adaptability
  5. 5. attention to detail
  6. 6. collaboration and teamwork
  7. 7. curiosity/inquisitiveness
  8. 8. security awareness
  9. 9. communication
  10. 10. mathematical and logical aptitude
  11. 11. innovative mindset

learned skills

  1. 1. cloud infrastructure design and deployment
  2. 2. cloud service management
  3. 3. virtualization
  4. 4. networking in cloud
  5. 5. cloud security
  6. 6. cloud providers and platforms
  7. 7. automation and orchestration
  8. 8. compliance and governance

motivations/aspirations

  1. 1. technological innovation
  2. 2. problem-solving and creativity
  3. 3. career growth and opportunities
  4. 4. financial rewards
  5. 5. impact on business and society
  6. 6. learning and development
  7. 7. collaboration/teamwork
  8. 8. flexibility and remote work opportunities
  9. 9. entrepreneurial opportunities
  10. 10. security and compliance challenges
  11. 11. sustainability
  12. 12. alignment with organizational goals
  13. 13. global reach
  14. 14. recognition and community involvement

what it shows


The chart here illustrates the sub-level of learned skills required for cloud computing in each of the 24 markets researched. The findings presented here are based on a combination of verified, normalized labor market data by market and granular, skill-based data sourced from professional social media networks and job boards, as well as career sites.

need to know

  1. Cloud talent encompasses a diverse range of skill clusters across various technologies and focus areas.
  2. While the majority of professionals specialize in one of the three main cloud platforms — Microsoft Azure, Amazon Web Services (AWS) or Google Cloud Platform (GCP) — there are strong, frequent intersections with the automation domain.
  3. Recently, there has also been a noticeable trend toward integrating AI-related technologies within cloud solutions.

skills supply.

what it shows


Skills supply data indicates the total number of individuals who have the skills required for cloud computing in each of the 24 markets researched. These figures are based on a combination of verified, normalized labor market data by market and granular, skill-based data sourced from professional social media networks and job boards, as well as career sites.

Use the chart to understand the availability of skills (“supply map”), availability of sub-skills (“skill type”), talent with recent job search activity (“active talent”), as well as the share of talent who prefer permanent or contract work (“preferred employment type”).

The AI filter can help you understand the ways in which talent supply has been impacted by the growth of AI.

need to know

  1. The cloud computing cluster has one of the smallest changes in terms of absolute supply across all skill clusters, with an average market-level supply growth of 0.5%. It also has the least amount of new entrants across all skill clusters.
  2. The cloud computing talent pool has relatively low mobility, and most of the talent are in the 10+ years of experience bracket. Still, it remains a relatively stable cluster, although one whose skills can take a long time to master.
  3. Approximately 21% of talent in the cloud computing cluster have adopted some form of AI skills; 57% of these individuals are within the more experienced group of talent.

skills demand.

what it shows


Skills demand data indicates job postings that require cloud computing skills in each of the 24 markets we researched. These figures are based on a combination of verified, normalized labor market data by market and granular, skill-based data sourced from professional social media networks and job boards, and career sites.

See demand for each skill cluster by market, explore demand for sub-skills within each cluster or view the job vacancy ratio (JVR) — defined as hiring complexity — to understand market competitiveness for these skills. The higher the JVR, the more competitive it is to recruit.

The AI filter can help you understand the ways in which skills demand has been impacted by the growth of AI.

need to know

  1. Cloud computing is one of the skill clusters with a relatively lower share of global advertisement, and its hiring complexity is quite heavily affected by demand changes. However, absolute demand for cloud computing skills has gone down by 22.6%, slightly less than other clusters.
  2. Hiring complexity for cloud computing remains within the area of 3% JVR on average and has mostly doubled across many of the Western European markets. The JVR also increases by approximately 63% on average when hiring senior talent. This year, Australia shows the least hiring complexity, while markets in close proximity, such as Malaysia, have an elevated JVR of 4.3%.
  3. Cloud security and service management remain the most elevated hard-to-hire skills across individual markets, with France, Singapore and Poland taking the lead in terms of hiring complexity for those skills — with a JVR in the area of 8-11%.

compensation.

what it shows


The data included in this graph shows the average salary brackets in U.S. dollars for cloud computing skills in the 24 markets examined by level. Compensation data is mapped and analyzed from combined sources providing current pay data.

Select the markets of interest to understand which salary ranges are considered competitive and in which markets you should recruit to stay within budget.

need to know

  1. The cloud computing cluster offers high earning potential, with a slight increase across most markets.
  2. Italy and Malaysia have generally seen the highest salary increases for the cluster year-over-year, while salaries for cloud computing talent in France and Mexico have decreased.
  3. The disparity between compensation for this skill cluster now represents an 800% gap between the highest- and lowest-earning markets.

remote & hybrid working.

what it shows


Remote working data shows the percentage of job postings that offer candidates remote or hybrid work for cloud computing roles (noted as “demand”), as well as talent working preferences (noted as “supply”) in each of the 24 markets researched.

It is estimated that the actual share of remote/hybrid working opportunities is higher than advertised online. You can view the data by both skill cluster and individual skills.

need to know

  1. There’s a very slight increase in terms of talent preferences for work — both remote and hybrid work have become approximately 1-2% more popular year-over-year.
  2. Job postings offering remote work, however, dropped quite significantly (50%), creating a major gap between talent expectations and market reality. Even with this cluster being second on the list of those with the highest flexible options, it’s still quite underwhelming in contrast to talent expectations.
  3. While demand for hybrid roles has increased by 7.5%, it’s not the level of strong growth that would be expected with such a significant drop in remote options.

gender diversity.

what it shows


Gender diversity data shows the current balance of male to female employees currently working in roles that require cloud computing skills in each of the 24 markets researched. Findings are based on self-identified, normalized data from talent supply sources.

Use the chart to understand in which markets you are more likely to engage female talent with cloud computing skills. You can view the data by both skill cluster and individual skills.

need to know

  1. The cloud computing cluster experienced a decrease in gender diversity year-over-year. Currently, this skill cluster remains the least diverse, with self-identified female talent comprising only 15% of the talent pool.
  2. The share of female talent entering the market is also low when compared to other clusters at just 19%, which will further widen the gender gap.
  3. There are 18 markets in which hiring complexity increases at least 5 times for female talent with sub-skills like cloud infrastructure design.

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