Salary for Senior-level / Expert Cloud Engineer during 2024

Salary details

The average senior-level / expert Cloud Engineer salary lies between USD 100,000 and USD 198,000 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 Senior-level / Expert Cloud Engineer roles

The three most common job tag items assiciated with senior-level / expert 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 | 102 jobs Engineering | 101 jobs AWS | 88 jobs Security | 85 jobs Machine Learning | 84 jobs Azure | 78 jobs Computer Science | 69 jobs Architecture | 68 jobs Terraform | 67 jobs Docker | 64 jobs DevOps | 61 jobs CI/CD | 61 jobs Kubernetes | 59 jobs Agile | 56 jobs GCP | 54 jobs Pipelines | 54 jobs Java | 36 jobs Jenkins | 35 jobs Big Data | 31 jobs SQL | 31 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Cloud Engineer roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 99 jobs Health care | 40 jobs Flex hours | 35 jobs Team events | 33 jobs Competitive pay | 28 jobs Equity / stock options | 26 jobs Startup environment | 23 jobs Flex vacation | 20 jobs Parental leave | 19 jobs Salary bonus | 17 jobs Insurance | 15 jobs Medical leave | 12 jobs 401(k) matching | 10 jobs Wellness | 8 jobs Transparency | 8 jobs Conferences | 7 jobs Flexible spending account | 7 jobs Gear | 6 jobs Relocation support | 5 jobs Flat hierarchy | 2 jobs

Salary Composition

The salary for a Senior-level or Expert Cloud Engineer 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%. Additional remuneration might include stock options, especially in tech companies, and other benefits like health insurance, retirement plans, and paid time off. The composition can vary significantly depending on the region, industry, and company size. For instance, tech giants in Silicon Valley might offer substantial stock options, while companies in other regions might focus more on cash bonuses.

Increasing Salary

To increase your salary from this position, consider pursuing leadership roles such as Cloud Architect or Director of Cloud Services. These roles often come with higher pay and more responsibilities. Additionally, specializing in emerging technologies like AI/ML can make you more valuable. Networking within the industry and attending conferences can also open up opportunities for higher-paying positions. Finally, consider negotiating your salary during performance reviews or when taking on additional responsibilities.

Educational Requirements

Most Senior-level Cloud Engineer positions require at least a bachelor's degree in computer science, information technology, or a related field. However, a master's degree or even a Ph.D. can be advantageous, especially in roles that require deep expertise in AI/ML. Continuous learning through online courses and workshops is also important to keep up with the rapidly evolving technology landscape.

Helpful Certifications

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

• AWS Certified Solutions Architect – Professional
• Google Cloud Professional Cloud Architect
• Microsoft Certified: Azure Solutions Architect Expert
• Certified Kubernetes Administrator (CKA)
• Certified Data Professional (CDP)

These certifications demonstrate your expertise in cloud platforms and data management, which are crucial for AI/ML roles.

Required Experience

Typically, a Senior-level Cloud Engineer should have at least 5-10 years of experience in IT, with a significant portion of that time spent working with cloud technologies. Experience in designing, deploying, and managing cloud-based solutions is essential. Additionally, experience with AI/ML projects, data engineering, and DevOps practices can be highly beneficial.

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