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

Salary details

The average mid-level / intermediate Site Reliability Engineer salary lies between USD 129,960 and USD 237,500 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: 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

The salary for a Mid-level/Intermediate Site Reliability Engineer (SRE) in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. 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 and individual contributions, often ranging from 10% to 20% of the base salary. Additional remuneration might include benefits like health insurance, retirement plans, and sometimes relocation assistance. The composition can vary by region, with tech hubs like Silicon Valley offering higher base salaries and equity options compared to other regions. Industry also plays a role; for instance, finance and tech sectors might offer more lucrative packages compared to non-profit or public sectors. Larger companies often provide more comprehensive benefits and bonuses, while startups might offer more equity to compensate for lower base salaries.

Increasing Salary

To increase your salary from this position, consider pursuing advanced certifications or further education, such as a master's degree in a related field. Gaining expertise in high-demand areas like cloud computing, cybersecurity, or AI/ML can make you more valuable. Networking within the industry and attending relevant conferences can also open up opportunities for higher-paying roles. Additionally, taking on leadership roles or projects that demonstrate your ability to drive significant improvements in reliability and efficiency can position you for promotions or salary negotiations. Exploring opportunities in different regions or industries where demand for SREs is higher can also lead to better compensation.

Educational Requirements

Most mid-level SRE positions require a bachelor's degree in computer science, information technology, or a related field. Some employers might accept equivalent work experience in lieu of a formal degree, but having a solid educational background is often preferred. A strong understanding of computer systems, networking, and software development is essential. For roles specifically in AI/ML/Data Science, coursework or experience in data analysis, machine learning, and statistics can be beneficial.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate your expertise to potential employers. Some valuable certifications for SREs include:

• Google Professional Cloud DevOps Engineer
• AWS Certified DevOps Engineer
• Certified Kubernetes Administrator (CKA)
• Red Hat Certified Engineer (RHCE)
• Microsoft Certified: Azure DevOps Engineer Expert

These certifications validate your skills in managing and deploying applications in cloud environments, which is crucial for SRE roles.

Required Experience

Typically, a mid-level SRE position requires 3-5 years of experience in a related field, such as software development, systems engineering, or IT operations. Experience with cloud platforms, containerization technologies like Docker and Kubernetes, and infrastructure as code tools like Terraform or Ansible is often expected. Familiarity with monitoring and logging tools, as well as a strong understanding of networking and security principles, is also important.

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