Salary for Senior-level / Expert DevOps Engineer during 2024

Salary details

The average senior-level / expert DevOps Engineer salary lies between USD 110,000 and USD 185,000 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 Senior-level / Expert DevOps Engineer roles

The three most common job tag items assiciated with senior-level / expert DevOps Engineer job listings are DevOps, Python and Engineering. 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:

DevOps | 358 jobs Python | 332 jobs Engineering | 270 jobs Kubernetes | 268 jobs AWS | 265 jobs CI/CD | 255 jobs Security | 241 jobs Pipelines | 216 jobs Terraform | 216 jobs Machine Learning | 201 jobs Docker | 192 jobs Azure | 168 jobs Computer Science | 163 jobs Linux | 157 jobs Jenkins | 157 jobs Architecture | 142 jobs GCP | 138 jobs Ansible | 138 jobs Agile | 119 jobs Git | 111 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert DevOps Engineer job listings are Career development, Flex hours and Health care. 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 | 244 jobs Flex hours | 122 jobs Health care | 115 jobs Startup environment | 99 jobs Equity / stock options | 77 jobs Competitive pay | 76 jobs Team events | 72 jobs Flex vacation | 63 jobs Insurance | 46 jobs Medical leave | 39 jobs Salary bonus | 35 jobs Parental leave | 31 jobs 401(k) matching | 24 jobs Wellness | 24 jobs Gear | 18 jobs Home office stipend | 16 jobs Flexible spending account | 15 jobs Transparency | 11 jobs Conferences | 10 jobs Relocation support | 8 jobs

Salary Composition

The salary for a Senior-level/Expert DevOps Engineer in AI/ML/Data Science typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is often the largest component, accounting for 70-80% of the total compensation package. Bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. In tech hubs like Silicon Valley, stock options or equity can also form a substantial part of the compensation, especially in startups or large tech companies. In regions with a high cost of living, such as New York or San Francisco, salaries tend to be higher to offset living expenses. Conversely, in smaller markets or regions with a lower cost of living, the base salary might be lower, but the overall compensation package can still be competitive due to other benefits.

Increasing Salary

To increase your salary from this position, consider pursuing leadership roles such as DevOps Manager or Director of DevOps. These roles often come with higher compensation and more strategic responsibilities. Additionally, specializing in high-demand areas like cloud architecture, security, or AI/ML integration can make you more valuable to employers. Networking within industry groups 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, as this can lead to incremental increases over time.

Educational Requirements

Most Senior-level/Expert DevOps Engineer positions require at least a bachelor's degree in computer science, information technology, or a related field. However, a master's degree or higher can be advantageous, especially in competitive markets or for roles that require a deep understanding of AI/ML technologies. Continuous learning is crucial in this field, so staying updated with the latest technologies and methodologies through online courses or workshops is often expected.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your expertise. Some valuable certifications for a DevOps Engineer in AI/ML/Data Science include:

• AWS Certified DevOps Engineer
• Google Professional DevOps Engineer
• Microsoft Certified: Azure DevOps Engineer Expert
• Certified Kubernetes Administrator (CKA)
• Docker Certified Associate
• HashiCorp Certified: Terraform Associate

These certifications can help you stand out in the job market and may lead to higher salary offers.

Required Experience

Typically, a Senior-level/Expert DevOps Engineer is expected to have at least 5-10 years of experience in DevOps or related fields. This experience should include a strong background in software development, system administration, and cloud services. Experience with CI/CD pipelines, infrastructure as code, and containerization technologies is also crucial. Leadership experience or a proven track record of managing complex projects can be beneficial for advancing to higher-level positions.

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