Cloud Engineer Salary in 2024

Salary details

The average Cloud Engineer salary lies between USD 93,876 and USD 170,000 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Top 20 Job Tags for Cloud Engineer roles

The three most common job tag items assiciated with Cloud Engineer job listings are Python, Engineering and AWS. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Python | 183 jobs Engineering | 172 jobs AWS | 158 jobs Security | 148 jobs Machine Learning | 142 jobs Azure | 133 jobs Architecture | 122 jobs Computer Science | 118 jobs Terraform | 113 jobs Kubernetes | 106 jobs GCP | 105 jobs DevOps | 102 jobs CI/CD | 101 jobs Docker | 99 jobs Agile | 94 jobs Pipelines | 91 jobs Java | 72 jobs Big Data | 68 jobs SQL | 52 jobs Jenkins | 51 jobs

Top 20 Job Perks/Benefits for Cloud Engineer roles

The three most common job benefits and perks assiciated with Cloud Engineer job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 166 jobs Health care | 75 jobs Flex hours | 64 jobs Team events | 50 jobs Competitive pay | 43 jobs Equity / stock options | 41 jobs Startup environment | 40 jobs Salary bonus | 31 jobs Flex vacation | 30 jobs Insurance | 30 jobs Parental leave | 23 jobs Medical leave | 20 jobs Wellness | 17 jobs 401(k) matching | 13 jobs Conferences | 13 jobs Transparency | 12 jobs Relocation support | 12 jobs Gear | 7 jobs Flexible spending account | 7 jobs Fitness / gym | 5 jobs

Salary Composition

The salary for a Cloud Engineer specializing in AI/ML/Data Science typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or tied to company profits, usually make up 10-20% of the total salary. Additional remuneration might include stock options, especially in larger tech companies or startups, and can account for 5-10% of the total package. The composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or Seattle might offer higher base salaries and stock options, while companies in finance or healthcare might provide more substantial bonuses.

Increasing Salary

To increase your salary from this position, consider pursuing advanced certifications or further education, such as a master's degree in a related field. Gaining expertise in emerging technologies or specialized areas within AI/ML can also make you more valuable. Networking within industry groups and attending conferences can open up opportunities for higher-paying roles. Additionally, taking on leadership roles or projects that demonstrate your ability to drive business value can position you for promotions or salary negotiations.

Educational Requirements

Most Cloud Engineer roles in AI/ML/Data Science require at least a bachelor's degree in computer science, engineering, mathematics, or a related field. However, a master's degree or even a Ph.D. can be advantageous, especially for roles that involve complex data analysis or the development of new machine learning models. Continuous learning through online courses or workshops is also common to keep up with the rapidly evolving technology landscape.

Helpful Certifications

Certifications can significantly enhance your credentials. Some of the most beneficial ones include:

• AWS Certified Solutions Architect: Demonstrates expertise in designing and deploying scalable systems on AWS.
• Google Professional Cloud Architect: Validates your ability to design and manage secure, scalable cloud architectures.
• Microsoft Certified: Azure Solutions Architect Expert: Shows proficiency in designing cloud and hybrid solutions on Azure.
• Certified Kubernetes Administrator (CKA): Useful for roles involving container orchestration.
• TensorFlow Developer Certificate: Highlights your skills in building and deploying machine learning models.

Required Experience

Typically, employers look for candidates with 3-5 years of experience in cloud engineering or a related field. Experience with cloud platforms like AWS, Azure, or Google Cloud is essential. Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn is also highly valued. Experience in deploying machine learning models in production environments and optimizing cloud infrastructure for data-intensive applications is often required.

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