Are you interested in building high-performance, globally scalable systems that support Amazon's current and future growth Are you seeking an environment where you can drive innovation Does the prospect of working with top engineering talent get you charged up

Looking for a highly motivated System Development Engineer to help build Amazon's business critical delivery systems and build solutions to operate at scale. You will work on critical business functions for our customers around the world while meeting system availability goals and ensuring system performance with growing business needs. You will work together with multiple teams and departments, with plenty of opportunities to learn and grow.

In this role, you will apply your skills of system design, networking, coding/scripting languages, as well as technical communication and project organization to make your impact on improving our business processes. The candidate is expected to contribute work critical initiatives, build products, lead engineers to troubleshoot, debug, evaluate and resolve computer-identified alarms, make feature enhancements, systems management, perform software deployments and migrations, host management and automate the operational tasks.

They would also be responsible to develop tools and end to end automation to achieve human free operations.

As an Engineer in the team, you will take part in in the architecture, design, implementation and deployment of large-scale and complex software systems. You will get to leverage your experience and expertise to deliver innovative solutions to challenging problems. Your code, design, and implementation decisions should set a great example to other engineers.



We work in lots of different languages (not limited to, but most often Python and Java). It is more important to us that you understand coding in the context of working in distributed systems and/or widely scaled web applications.

- Lead migration projects from planning through execution, including infrastructure setup, data replication, traffic management, and post-migration validation
- Identify and implement cost optimization strategies to reduce per-offering costs through automation and streamlined operations.
- Lead root cause analysis for high-severity incidents, implement preventive measures, and drive operational improvements across the team's processes and tooling.
- Participate in on-call rotations to ensure operational support for critical migration activities
- Building AI-assisted workflows that streamline migration operation or make our day to day job easier and faster.
- You will lead the technical direction for complex migration challenges using AWS technologies and modern development practices. You might collaborate on pipeline infrastructure setups, build AI-assisted workflows that streamline migration operations, or develop tools in Python and Java to automate critical migration tasks.



You'll work closely with service teams across Amazon to identify and resolve migration obstacles, analyze memory efficiency across service fleets. Your work will span infrastructure setup, data replication, traffic management, and post-migration validation, all while supporting operational excellence through monitoring, troubleshooting, and continuous improvement. We are the Amazon DSP Analytics team, supporting all business pillars across the DSP organization horizontally, with the vision to enable data-, insights-, and science-driven decision-making. Here, you'll have the opportunity to dive deep into complex business and data problems, drive large-scale technical solutions, and raise the bar for operational excellence. Experience in automating, deploying, and supporting large-scale infrastructure

- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes
- 4+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Bachelor's degree or equivalent in Computer Science
- Experience in Performance tuning or optimization of compute resources.

Experience with distributed systems at scale

- 4+ years of non-internship qualified software development experience
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)

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 for more information.

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