Salary for Mid-level / Intermediate Site Reliability Engineer in United States during 2024

Salary details

The average mid-level / intermediate Site Reliability Engineer salary lies between USD 136,800 and USD 250,000 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: Dec. 22, 2024

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

The three most common job tag items assiciated with mid-level / intermediate 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 | 71 jobs Engineering | 71 jobs Kubernetes | 58 jobs Computer Science | 52 jobs Architecture | 44 jobs Machine Learning | 43 jobs Linux | 41 jobs Security | 39 jobs Terraform | 37 jobs AWS | 34 jobs DevOps | 34 jobs Docker | 33 jobs Distributed Systems | 32 jobs Azure | 32 jobs Pipelines | 32 jobs CI/CD | 30 jobs GCP | 29 jobs Ansible | 29 jobs Java | 24 jobs Testing | 23 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 54 jobs Health care | 27 jobs Equity / stock options | 23 jobs Parental leave | 19 jobs Flex hours | 19 jobs Medical leave | 18 jobs Competitive pay | 16 jobs Insurance | 16 jobs Flex vacation | 14 jobs Team events | 13 jobs 401(k) matching | 12 jobs Startup environment | 12 jobs Fitness / gym | 11 jobs Salary bonus | 10 jobs Flexible spending account | 9 jobs Relocation support | 7 jobs Wellness | 6 jobs Transparency | 6 jobs Conferences | 3 jobs Unlimited paid time off | 2 jobs

Salary Composition

In the United States, the salary composition for a Mid-level/Intermediate Site Reliability Engineer (SRE) 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. In tech hubs like San Francisco or New York, the base salary might be higher due to the cost of living and competitive job market.

• Bonuses: These can be performance-based or company-wide bonuses. Performance bonuses are tied to individual or team achievements, while company-wide bonuses depend on the overall success of the company. Bonuses can range from 10% to 20% of the base salary.

• Additional Remuneration: This includes stock options, restricted stock units (RSUs), or other equity compensation, which are common in tech companies. Benefits such as health insurance, retirement plans, and paid time off also contribute to the total compensation package.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in AI/ML and SRE practices. Specializing in emerging technologies or acquiring expertise in a niche area 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 a leadership or managerial role can significantly increase your earning potential. This might involve leading a team of engineers or managing larger projects.

• Networking and Industry Engagement: Actively participating in industry conferences, meetups, and online forums can help you stay informed about job opportunities and salary trends.

Educational Requirements

Most employers require a bachelor's degree in computer science, engineering, or a related field for a Mid-level/Intermediate SRE position. However, a strong understanding of AI/ML concepts and data science principles is crucial. Some positions may prefer candidates with a master's degree, especially if the role involves complex AI/ML systems.

Helpful Certifications

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

• Certified Kubernetes Administrator (CKA): As SREs often work with containerized applications, this certification is highly relevant.

• AWS Certified Solutions Architect: Cloud platforms are integral to SRE roles, and this certification validates your ability to design and deploy scalable systems on AWS.

• Google Professional Cloud DevOps Engineer: This certification focuses on building and managing CI/CD pipelines, which are crucial for SREs.

• Machine Learning Certifications: Certifications from platforms like Coursera or edX in machine learning can be beneficial, especially if your role involves AI/ML systems.

Required Experience

Typically, a Mid-level/Intermediate SRE position requires 3-5 years of experience in a related field. This experience should include:

• Hands-on experience with cloud platforms (AWS, Google Cloud, Azure).
• Proficiency in programming languages such as Python, Go, or Java.
• Experience with infrastructure as code tools like Terraform or Ansible.
• Familiarity with CI/CD pipelines and monitoring tools.

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