Infrastructure Engineer Salary in 2024

Salary details

The average Infrastructure Engineer salary lies between USD 150,000 and USD 195,000 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: Jan. 12, 2025

Top 20 Job Tags for Infrastructure Engineer roles

The three most common job tag items assiciated with Infrastructure Engineer job listings are Python, Engineering and Machine Learning. 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 | 249 jobs Engineering | 235 jobs Machine Learning | 190 jobs Kubernetes | 171 jobs Pipelines | 159 jobs AWS | 158 jobs Security | 146 jobs Architecture | 134 jobs Computer Science | 120 jobs Terraform | 117 jobs Docker | 105 jobs CI/CD | 100 jobs ML infrastructure | 92 jobs Azure | 90 jobs DevOps | 90 jobs GCP | 86 jobs Java | 82 jobs Linux | 81 jobs Testing | 74 jobs Spark | 72 jobs

Top 20 Job Perks/Benefits for Infrastructure Engineer roles

The three most common job benefits and perks assiciated with Infrastructure Engineer job listings are Career development, Health care and Equity / stock options. 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 | 219 jobs Health care | 160 jobs Equity / stock options | 135 jobs Startup environment | 98 jobs Competitive pay | 93 jobs Flex hours | 92 jobs Flex vacation | 86 jobs Insurance | 80 jobs Parental leave | 79 jobs Salary bonus | 68 jobs Medical leave | 67 jobs Team events | 52 jobs 401(k) matching | 45 jobs Relocation support | 36 jobs Wellness | 27 jobs Home office stipend | 27 jobs Flexible spending account | 23 jobs Unlimited paid time off | 21 jobs Fertility benefits | 21 jobs Gear | 15 jobs

Salary Composition

The salary for an AI/ML/Data Science Infrastructure Engineer typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is often the largest component, making up about 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, additional remuneration such as stock options can be a significant part of the package, sometimes equaling or exceeding the base salary. In contrast, in regions with a lower cost of living or in smaller companies, the base salary might be a larger proportion of the total compensation, with smaller bonuses and fewer stock options.

Increasing Salary

To increase your salary from this position, consider pursuing advanced roles such as Senior Infrastructure Engineer, Infrastructure Architect, or transitioning into a managerial position like Infrastructure Manager. Gaining expertise in emerging technologies, such as cloud computing, containerization, and AI/ML frameworks, can make you more valuable. Networking within the industry and seeking opportunities in high-demand regions or companies known for competitive compensation can also be beneficial. Additionally, obtaining advanced certifications or a master's degree in a related field can enhance your qualifications and bargaining power.

Educational Requirements

Most positions for AI/ML/Data Science Infrastructure Engineers require at least a bachelor's degree in computer science, information technology, or a related field. Some employers may prefer candidates with a master's degree, especially for more senior roles. A strong foundation in computer science principles, networking, and systems architecture is essential. Coursework or experience in AI/ML can be advantageous, as it provides a better understanding of the infrastructure needs specific to these technologies.

Helpful Certifications

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

• AWS Certified Solutions Architect: Demonstrates proficiency in designing and deploying scalable systems on AWS.
• Google Cloud Professional Cloud Architect: Validates your ability to design and manage solutions on Google Cloud.
• Microsoft Certified: Azure Solutions Architect Expert: Shows expertise in designing and implementing solutions on Microsoft Azure.
• Certified Kubernetes Administrator (CKA): Highlights your skills in managing Kubernetes clusters, which are crucial for modern infrastructure roles.

Required Experience

Typically, employers look for candidates with 3-5 years of experience in infrastructure engineering or a related field. Experience with cloud platforms, containerization technologies, and automation tools is often required. Familiarity with AI/ML workflows and the ability to support data science teams can be a significant advantage. For senior roles, 7-10 years of experience may be necessary, along with proven leadership skills and a track record of managing complex infrastructure projects.

Related salaries

Want to contribute?