Software Engineer: Cloud-Native & AI Impact

Amazon; Hudson (MA); On-site; USD 111,000 - 160,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Job summary

Amazon is hiring Software Development Engineers (SDE-I) to build scalable, cloud-native services that impact millions of customers. You will own code lifecycle from design to deployment, work in a fast-paced, learning-oriented environment, and collaborate with experts across teams.

Ideal candidates are curious, eager to learn, and able to navigate ambiguity while delivering high-quality solutions and contributing to operational excellence in a rapidly evolving tech landscape.

Qualifications

• Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript.
• Knowledge of data structures, algorithms, and object-oriented design.

Responsibilities

• Collaborate with cross-disciplinary teams to design, build, and operate innovative products and services for customers.
• Design and develop scalable cloud-native solutions with microservices in a distributed environment.
• Participate in code reviews and contribute to technical documentation.
• Build and maintain resilient distributed systems that are scalable and cost-effective.
• Leverage GenAI tools to enhance development productivity.
• Write clean, maintainable code following best practices.
• Work in an agile CI/CD environment with on-call operations.
• Monitor, troubleshoot, and resolve production issues.

Skills

Programming languages

DS & Algorithms

Education

Bachelor's degree in CS/CE/DS or related STEM

Tools

AI tools

AWS

Databases (SQL/NoSQL)

Open-source contributions

Version control

Debugging complex systems

Job description

Amazon is hiring Software Development Engineers (SDE-I) to build scalable, cloud-native services that impact millions of customers. You will own code lifecycle from design to deployment, work in a fast-paced, learning-oriented environment, and collaborate with experts across teams.

Ideal candidates are curious, eager to learn, and able to navigate ambiguity while delivering high-quality solutions and contributing to operational excellence in a rapidly evolving tech landscape.