Salary for Senior-level / Expert Full Stack Developer during 2024

Salary details

The average senior-level / expert Full Stack Developer salary lies between USD 96,000 and USD 162,000 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. 17, 2024

Top 20 Job Tags for Senior-level / Expert Full Stack Developer roles

The three most common job tag items assiciated with senior-level / expert Full Stack Developer job listings are Python, React and Engineering. 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 | 123 jobs React | 103 jobs Engineering | 100 jobs APIs | 90 jobs Architecture | 88 jobs Machine Learning | 82 jobs Agile | 81 jobs Azure | 70 jobs Java | 62 jobs AWS | 59 jobs Security | 57 jobs JavaScript | 56 jobs Testing | 53 jobs TypeScript | 51 jobs Computer Science | 51 jobs Angular | 49 jobs Node.js | 48 jobs SQL | 47 jobs LLMs | 44 jobs CI/CD | 43 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Full Stack Developer roles

The three most common job benefits and perks assiciated with senior-level / expert Full Stack Developer job listings are Career development, Flex hours and Health care. 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 | 114 jobs Flex hours | 46 jobs Health care | 39 jobs Startup environment | 33 jobs Team events | 33 jobs Flex vacation | 22 jobs Competitive pay | 22 jobs Insurance | 21 jobs Parental leave | 19 jobs Equity / stock options | 17 jobs Medical leave | 15 jobs Salary bonus | 15 jobs Wellness | 12 jobs 401(k) matching | 11 jobs Fitness / gym | 7 jobs Flexible spending account | 7 jobs Transparency | 3 jobs Yoga | 2 jobs Lunch / meals | 1 jobs Gear | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Full Stack Developer in AI/ML/Data Science typically comprises a base salary, bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually forms the largest part 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 can be substantial, reflecting the high demand for skilled professionals. In contrast, smaller companies or those in less competitive regions might offer lower bonuses but compensate with other benefits like flexible working conditions or additional vacation days.

Increasing Salary Potential

To increase your salary from this position, consider specializing in high-demand areas within AI/ML, such as deep learning, natural language processing, or computer vision. Gaining expertise in these areas can make you more valuable to employers. Additionally, pursuing leadership roles or transitioning into a managerial position can lead to higher compensation. Networking within the industry and staying updated with the latest trends and technologies can also open up opportunities for higher-paying roles. Finally, consider negotiating your salary based on your contributions and the value you bring to the company.

Educational Requirements

Most senior-level positions in AI/ML/Data Science require at least a bachelor's degree in computer science, engineering, mathematics, or a related field. However, a master's degree or Ph.D. can be advantageous and is often preferred by employers, especially for roles that involve complex problem-solving and research. Advanced degrees can provide a deeper understanding of machine learning algorithms, data analysis, and statistical methods, which are crucial for success in this field.

Helpful Certifications

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

• Certified Machine Learning Professional (CMLP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate

These certifications can validate your skills in specific technologies and platforms, making you a more attractive candidate for senior roles.

Required Experience

Typically, a senior-level position requires at least 5-10 years of experience in software development, with a significant portion of that time spent working on AI/ML projects. Experience in full-stack development is crucial, as it demonstrates your ability to work on both front-end and back-end systems. Additionally, experience in leading projects, mentoring junior developers, and collaborating with cross-functional teams is often required.

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