Salary for Mid-level / Intermediate Cloud Engineer during 2024

Salary details

The average mid-level / intermediate Cloud Engineer salary lies between USD 92,242 and USD 154,000 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. 24, 2024

Top 20 Job Tags for Mid-level / Intermediate Cloud Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Cloud Engineer job listings are Python, AWS and Security. 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 | 44 jobs AWS | 43 jobs Security | 42 jobs Architecture | 38 jobs Engineering | 36 jobs Machine Learning | 35 jobs Azure | 34 jobs GCP | 32 jobs Terraform | 32 jobs Computer Science | 28 jobs CI/CD | 27 jobs Kubernetes | 26 jobs Pipelines | 25 jobs Docker | 23 jobs DevOps | 23 jobs Big Data | 20 jobs Linux | 17 jobs Agile | 17 jobs Testing | 16 jobs Java | 16 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Cloud Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 39 jobs Health care | 25 jobs Flex hours | 20 jobs Startup environment | 15 jobs Competitive pay | 13 jobs Insurance | 12 jobs Equity / stock options | 11 jobs Salary bonus | 10 jobs Flex vacation | 7 jobs Wellness | 6 jobs Relocation support | 6 jobs Conferences | 5 jobs Team events | 5 jobs Medical leave | 5 jobs Fitness / gym | 4 jobs Transparency | 3 jobs 401(k) matching | 2 jobs Parental leave | 2 jobs Flat hierarchy | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Cloud Engineer in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. Additional remuneration, such as stock options, profit-sharing, or benefits like health insurance and retirement plans, can make up the remaining 5-10%.

Regional differences also play a significant role in salary composition. For instance, tech hubs like San Francisco or New York may offer higher base salaries and stock options due to the high cost of living and competitive job market. In contrast, companies in smaller cities or regions may offer lower base salaries but compensate with more substantial bonuses or benefits. Industry and company size also influence salary composition, with larger tech companies often providing more comprehensive compensation packages compared to smaller startups.

Increasing Salary

To increase your salary from a Mid-level/Intermediate Cloud Engineer position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your technical skills, particularly in emerging AI/ML technologies and cloud platforms. Specializing in niche areas can make you more valuable.
• Advanced Certifications: Obtain advanced certifications in cloud computing, AI, or data science to demonstrate your expertise and commitment to professional growth.
• Networking: Build a strong professional network within the industry. Attend conferences, workshops, and meetups to connect with peers and potential employers.
• Leadership Roles: Seek opportunities to take on leadership roles or manage projects, which can lead to promotions and salary increases.
• Negotiation: When discussing salary, be prepared to negotiate based on your skills, experience, and market research.

Educational Requirements

Most Mid-level/Intermediate Cloud Engineer positions in AI/ML/Data Science require at least a bachelor's degree in computer science, information technology, engineering, or a related field. Some employers may prefer candidates with a master's degree, especially for roles involving complex data analysis or machine learning model development. A strong foundation in mathematics, statistics, and programming is essential, as these skills are critical for success in AI/ML and data science roles.

Helpful Certifications

Certifications can significantly enhance your qualifications and demonstrate your expertise to potential employers. Some common and beneficial certifications include:

• AWS Certified Solutions Architect: Validates your ability to design and deploy scalable systems on AWS.
• Google Professional Cloud Architect: Demonstrates your proficiency in designing and managing Google Cloud solutions.
• Microsoft Certified: Azure Solutions Architect Expert: Confirms your skills in designing and implementing solutions on Microsoft Azure.
• Certified Data Scientist (CDS): Highlights your expertise in data science methodologies and tools.
• TensorFlow Developer Certificate: Showcases your ability to build and deploy machine learning models using TensorFlow.

Experience Requirements

Typically, a Mid-level/Intermediate Cloud Engineer in AI/ML/Data Science should have 3-5 years of relevant experience. This experience should include hands-on work with cloud platforms (such as AWS, Azure, or Google Cloud), as well as practical experience in AI/ML model development and data analysis. Experience in software development, system architecture, and project management can also be beneficial.

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