Software Development Engineer, Amazon Traffic Engineering
Join us in building the foundational infrastructure that powers Amazon's global operations. You'll work on highly distributed systems handling tens of millions of requests per minute, designing and maintaining the critical software layer that accepts, filters, and routes all web traffic from the public Internet to Amazon's websites and services. This role offers the opportunity to solve complex technical challenges while directly impacting the security and reliability that millions of customers depend on every day.
Key job responsibilities
- Develop and maintain software for high-availability systems that process millions of requests per minute, ensuring reliability and performance at scale
- Troubleshoot, debug, and resolve system alerts and issues in production environments, implementing fixes that maintain service integrity
- Design and implement tools and automation workflows that reduce manual operational tasks and enable more autonomous system operations
- Collaborate with cross-functional teams to evaluate feature requests, implement enhancements, and manage software deployments and migrations
- Participate in on-call rotations to monitor system health, respond to incidents, and support the operational needs of our infrastructure
A day in the life
In this role, you'll focus on developing and operating the reverse proxy and traffic management systems that form the backbone of Amazon's connectivity infrastructure. Your day might include troubleshooting and resolving system alerts, collaborating with cross-functional teams to implement feature enhancements, and writing code that optimizes how traffic flows through our distributed network. You'll balance hands-on software development with operational responsibilities, including on-call support where you'll diagnose issues in real-time and deploy solutions to production systems. You'll also dedicate time to building automation tools and end-to-end workflows that reduce manual operational work and move us toward more autonomous systems. Throughout it all, you'll work with colleagues who are equally committed to maintaining the security, reliability, and performance that our customers expect.
About the team
We are a team of engineers dedicated to protecting Amazon's infrastructure and maintaining the trust our customers place in us. Our mission is to design, create, and own the critical software layer that manages traffic at massive scale while detecting and blocking security threats. We collaborate closely with application teams, network specialists, and security experts across Amazon to enable new business initiatives and safely launch services in new markets. Our vision centers on building systems that operate with minimal human intervention while maintaining the highest standards of reliability and security. When you join us, you'll be part of a group that values technical depth, collaborative problem-solving, and a commitment to continuous improvement. We're excited to work with engineers who are passionate about infrastructure, eager to grow their skills, and motivated by the challenge of operating systems at Amazon's scale.
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
- 3+ years of non-internship professional software development experience
- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelor's degree or equivalent
- Experience programming languages such as C/C++, Python, Java or Perl- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Key job responsibilities
- Develop and maintain software for high-availability systems that process millions of requests per minute, ensuring reliability and performance at scale
- Troubleshoot, debug, and resolve system alerts and issues in production environments, implementing fixes that maintain service integrity
- Design and implement tools and automation workflows that reduce manual operational tasks and enable more autonomous system operations
- Collaborate with cross-functional teams to evaluate feature requests, implement enhancements, and manage software deployments and migrations
- Participate in on-call rotations to monitor system health, respond to incidents, and support the operational needs of our infrastructure
A day in the life
In this role, you'll focus on developing and operating the reverse proxy and traffic management systems that form the backbone of Amazon's connectivity infrastructure. Your day might include troubleshooting and resolving system alerts, collaborating with cross-functional teams to implement feature enhancements, and writing code that optimizes how traffic flows through our distributed network. You'll balance hands-on software development with operational responsibilities, including on-call support where you'll diagnose issues in real-time and deploy solutions to production systems. You'll also dedicate time to building automation tools and end-to-end workflows that reduce manual operational work and move us toward more autonomous systems. Throughout it all, you'll work with colleagues who are equally committed to maintaining the security, reliability, and performance that our customers expect.
About the team
We are a team of engineers dedicated to protecting Amazon's infrastructure and maintaining the trust our customers place in us. Our mission is to design, create, and own the critical software layer that manages traffic at massive scale while detecting and blocking security threats. We collaborate closely with application teams, network specialists, and security experts across Amazon to enable new business initiatives and safely launch services in new markets. Our vision centers on building systems that operate with minimal human intervention while maintaining the highest standards of reliability and security. When you join us, you'll be part of a group that values technical depth, collaborative problem-solving, and a commitment to continuous improvement. We're excited to work with engineers who are passionate about infrastructure, eager to grow their skills, and motivated by the challenge of operating systems at Amazon's scale.
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
- 3+ years of non-internship professional software development experience
- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelor's degree or equivalent
- Experience programming languages such as C/C++, Python, Java or Perl- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.