Amazon Web Services, Inc. offers a diverse range of job positions with competitive salary ranges reflecting the varying levels of expertise and responsibilities.
1. **Solutions Architect** roles have salaries ranging from **$118,200 to $204,300**, indicating strong compensation for building and designing AWS solutions.
2. Senior positions, such as **Senior Solutions Architect** and **Autonomous Systems Solution Architect**, command higher salaries between **$170,000 and $210,000**.
3. Specialist roles focused on GenAI and machine learning, like the **Senior Worldwide Specialist Solutions Architect - GenAI**, can earn between **$138,200 and $239,000**.
4. For software development, positions such as **Senior Software Development Engineer** offer significant salaries from **$151,300 to $261,500**, highlighting the demand for technical skills.
5. Other roles, including **Systems Development Engineer** and various Solutions Architect positions, generally have salaries ranging from **$116,300 to $204,300**.
Overall, AWS demonstrates a commitment to providing competitive compensation, especially in specialized technical and senior roles, reflecting the high value of expertise in emerging technologies like GenAI and cloud computing.
Technologies that we use
Amazon Web Services, Inc. boasts a robust and diverse technology stack that emphasizes cloud computing, networking, and machine learning. Candidates with expertise in AWS architecture, cloud support, and security are highly sought after. Proficiency in operating systems such as Linux and Windows, alongside skills in load balancing, containerization (Docker, Kubernetes), and CI/CD pipelines, is essential. Additionally, familiarity with programming languages such as Python, Java, C#, and Golang is advantageous, particularly for roles involving AI, machine learning, and IoT. The ideal candidate will also have experience in embedded systems, robotics, and infrastructure as code (Terraform), reflecting AWS’s commitment to innovative, serverless solutions and advanced technological development. Strong problem-solving abilities and a passion for leveraging modern technologies, including computer vision and large language models (LLM), are key traits AWS looks for in its talent.