Site Reliability Engineer Salary in United States during 2024

Salary details

The average Site Reliability Engineer salary lies between USD 145,000 and USD 233,200 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: Dec. 22, 2024

Top 20 Job Tags for Site Reliability Engineer roles

The three most common job tag items assiciated with Site Reliability Engineer job listings are Python, Engineering 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:

Python | 343 jobs Engineering | 343 jobs Kubernetes | 264 jobs Security | 207 jobs Computer Science | 197 jobs Machine Learning | 193 jobs Terraform | 193 jobs AWS | 191 jobs Linux | 186 jobs Architecture | 180 jobs DevOps | 159 jobs Docker | 154 jobs CI/CD | 153 jobs Azure | 152 jobs GCP | 138 jobs Pipelines | 132 jobs Ansible | 132 jobs Java | 132 jobs Distributed Systems | 120 jobs Testing | 116 jobs

Top 20 Job Perks/Benefits for Site Reliability Engineer roles

The three most common job benefits and perks assiciated with Site Reliability 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 | 280 jobs Health care | 171 jobs Equity / stock options | 164 jobs Medical leave | 110 jobs Insurance | 94 jobs Salary bonus | 94 jobs Flex vacation | 90 jobs Parental leave | 84 jobs Competitive pay | 79 jobs Flex hours | 77 jobs Startup environment | 68 jobs Team events | 54 jobs 401(k) matching | 52 jobs Fitness / gym | 45 jobs Flexible spending account | 41 jobs Wellness | 34 jobs Transparency | 34 jobs Unlimited paid time off | 17 jobs Relocation support | 15 jobs Gear | 11 jobs

Salary Composition

In the United States, the salary composition for a Site Reliability Engineer (SRE) in AI/ML/Data Science typically includes 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, accounting for approximately 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on the company's performance and individual contributions. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can be a significant part of the total compensation, especially in high-growth industries or regions like Silicon Valley.

Increasing Salary

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

• Skill Enhancement: Continuously update your technical skills, especially in emerging AI/ML technologies and tools. Specializing in niche areas can make you more valuable.
• Advanced Education: Pursuing a master's degree or relevant certifications can enhance your qualifications and open up higher-paying opportunities.
• Leadership Roles: Transitioning into leadership or managerial roles can significantly increase your earning potential.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements

Most Site Reliability Engineer positions in AI/ML/Data Science require at least a bachelor's degree in computer science, engineering, or a related field. However, a master's degree in a specialized area such as data science, machine learning, or systems engineering can be advantageous and is often preferred by top-tier companies. A strong foundation in mathematics, statistics, and programming is essential.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• Certified Kubernetes Administrator (CKA): Useful for managing containerized applications.
• AWS Certified Solutions Architect: Beneficial for roles involving cloud infrastructure.
• Google Professional Cloud DevOps Engineer: Focuses on cloud-based reliability engineering.
• Microsoft Certified: Azure DevOps Engineer Expert: Relevant for roles using Microsoft Azure.

Required Experience

Typically, employers look for candidates with 3-5 years of experience in a related field, such as software engineering, systems administration, or network engineering. Experience with cloud platforms, automation tools, and a solid understanding of software development and deployment processes are highly valued. Experience in AI/ML projects or environments can be a significant advantage.

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