Salary for Mid-level / Intermediate DevOps Engineer during 2024

Salary details

The average mid-level / intermediate DevOps Engineer salary lies between USD 97,335 and USD 180,000 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. 10, 2024

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

The three most common job tag items assiciated with mid-level / intermediate DevOps Engineer job listings are DevOps, Python 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:

DevOps | 109 jobs Python | 100 jobs AWS | 84 jobs Kubernetes | 82 jobs Pipelines | 78 jobs CI/CD | 74 jobs Engineering | 70 jobs Security | 70 jobs Terraform | 70 jobs Linux | 64 jobs Ansible | 58 jobs Machine Learning | 56 jobs Docker | 53 jobs Azure | 49 jobs Architecture | 41 jobs GCP | 41 jobs Git | 40 jobs Jenkins | 40 jobs Agile | 38 jobs Computer Science | 38 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate DevOps 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 | 72 jobs Health care | 40 jobs Flex hours | 39 jobs Startup environment | 27 jobs Equity / stock options | 19 jobs Competitive pay | 18 jobs Flex vacation | 16 jobs Medical leave | 15 jobs Salary bonus | 15 jobs Team events | 14 jobs Parental leave | 7 jobs Insurance | 7 jobs Unlimited paid time off | 7 jobs 401(k) matching | 5 jobs Fitness / gym | 5 jobs Conferences | 5 jobs Gear | 4 jobs Transparency | 4 jobs Wellness | 3 jobs Travel | 3 jobs

Salary Composition

The salary for a Mid-level/Intermediate 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 the fixed component and usually forms the bulk of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech hubs like Silicon Valley, bonuses and stock options might be more substantial compared to other regions. Larger companies often offer more comprehensive benefits packages, including health insurance, retirement plans, and professional development funds, which can add significant value to the overall compensation.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to AI/ML and DevOps. Specializing in niche areas can make you more valuable.
• Advanced Certifications: Obtain advanced certifications in cloud platforms (AWS, Azure, Google Cloud) or in AI/ML frameworks.
• Networking: Engage with professional communities and attend industry conferences to expand your network and learn about new opportunities.
• Leadership Roles: Seek opportunities to lead projects or teams, as leadership experience can significantly boost your earning potential.
• Negotiation: When changing jobs or during performance reviews, negotiate for higher pay based on your contributions and market research.

Educational Requirements

Most positions for a Mid-level/Intermediate DevOps Engineer 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 if the role involves complex AI/ML tasks. A strong foundation in mathematics and statistics is also beneficial, given the data-centric nature of the field.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your expertise. Some valuable certifications include:

• AWS Certified DevOps Engineer: Demonstrates proficiency in deploying, managing, and operating applications on AWS.
• Google Professional DevOps Engineer: Validates your ability to build software delivery pipelines, deploy and monitor services, and manage incidents.
• Microsoft Certified: Azure DevOps Engineer Expert: Focuses on designing and implementing DevOps practices using Microsoft Azure.
• Certified Kubernetes Administrator (CKA): Useful for roles involving container orchestration.
• Certified Machine Learning Specialist: While not specific to DevOps, it can be beneficial if your role involves AI/ML integration.

Experience Requirements

Typically, a Mid-level/Intermediate DevOps Engineer is expected to have 3-5 years of experience in DevOps or related fields. Experience with CI/CD pipelines, cloud services, infrastructure as code, and automation tools is crucial. Familiarity with AI/ML workflows and data pipelines can be a significant advantage, especially in roles that intersect with data science.

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