DevOps Engineer Salary in United States during 2024

Salary details

The average DevOps Engineer salary lies between USD 105,420 and USD 180,000 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 3, 2024

Top 20 Job Tags for DevOps Engineer roles

The three most common job tag items assiciated with DevOps Engineer job listings are DevOps, Python and Kubernetes. 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 | 527 jobs Python | 479 jobs Kubernetes | 389 jobs Engineering | 380 jobs AWS | 375 jobs CI/CD | 370 jobs Security | 337 jobs Pipelines | 328 jobs Terraform | 319 jobs Machine Learning | 288 jobs Docker | 287 jobs Linux | 251 jobs Azure | 238 jobs Ansible | 229 jobs Computer Science | 229 jobs Jenkins | 209 jobs Architecture | 204 jobs GCP | 178 jobs Agile | 176 jobs Git | 163 jobs

Top 20 Job Perks/Benefits for DevOps Engineer roles

The three most common job benefits and perks assiciated with 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 | 376 jobs Flex hours | 198 jobs Health care | 170 jobs Startup environment | 141 jobs Team events | 119 jobs Competitive pay | 113 jobs Equity / stock options | 101 jobs Flex vacation | 97 jobs Salary bonus | 65 jobs Insurance | 62 jobs Medical leave | 59 jobs Parental leave | 39 jobs Gear | 36 jobs 401(k) matching | 31 jobs Wellness | 27 jobs Home office stipend | 24 jobs Conferences | 18 jobs Transparency | 17 jobs Pet friendly | 17 jobs Flexible spending account | 17 jobs

Salary Composition

In the United States, the salary composition for a DevOps Engineer specializing in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is divided into three main components: base salary, bonuses, and additional remuneration such as stock options or benefits.

• Base Salary: This is the fixed annual amount and usually constitutes the largest portion of the total compensation package. In tech hubs like Silicon Valley, New York, or Seattle, the base salary might be higher due to the cost of living and competitive job market.

• Bonuses: Performance-based bonuses are common and can range from 10% to 20% of the base salary. These are often tied to individual performance, team success, or company profitability.

• Additional Remuneration: This can include stock options, especially in startups or tech companies, as well as benefits like health insurance, retirement contributions, and paid time off. Larger companies might offer more comprehensive benefits packages.

Increasing Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML and DevOps. Specializing in emerging technologies or tools can make you more valuable.

• Advanced Education: Pursuing a master's degree or specialized certifications can enhance your qualifications and open up higher-paying opportunities.

• Networking: Engage with professional networks and communities. This can lead to opportunities in higher-paying companies or roles.

• Leadership Roles: Aim for leadership or managerial positions, which typically offer higher salaries.

• Industry Shift: Consider moving to industries that pay more for AI/ML expertise, such as finance, healthcare, or tech giants.

Educational Requirements

Most positions in this field require at least a bachelor's degree in computer science, engineering, or a related field. However, a master's degree or Ph.D. in data science, machine learning, or a related discipline can be advantageous and sometimes necessary for more advanced roles.

Helpful Certifications

Certifications can bolster your credentials and demonstrate expertise. Some valuable certifications include:

• AWS Certified DevOps Engineer: Demonstrates proficiency in deploying, managing, and operating applications on AWS.

• Google Professional Data Engineer: Validates your ability to design, build, and manage data processing systems.

• Certified Kubernetes Administrator (CKA): Useful for managing containerized applications, which is often a part of DevOps roles.

• TensorFlow Developer Certificate: Shows proficiency in using TensorFlow for machine learning tasks.

Required Experience

Typically, employers look for candidates with 3-5 years of experience in DevOps, with a focus on AI/ML projects. Experience with cloud platforms, CI/CD pipelines, and infrastructure as code is often required. Familiarity with data science tools and frameworks is also beneficial.

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