System Development Engineer,, DSP Analytics

Are you interested in building high-performance globally scalable systems that support Amazons 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 Amazons 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 discover innovative ways to automate and scale our infrastructure as we expand globally. You will work together with multiple teams and departments with plenty of opportunities to learn and grow.

The ideal candidate has a passion for understanding computing systems and for applying that understanding with an obsession for delighting 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. You will communicate your ideas effectively to achieve the right outcome for your team and customer. You enjoy collaborating with others to increase the effectiveness of the overall team. Your code design and implementation decisions should set a great example to other engineers. You will also have the opportunity to impact the technical decisions in the broader organization as well as mentor other engineers in the team.

Key job responsibilities
Design implement maintain and deploy components that solve problems in a complex ecosystem. 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.

Mentor and guide junior engineers conducting code reviews providing technical direction and fostering a culture of operational excellence within the team.

Lead root cause analysis for high-severity incidents implement preventive measures and drive operational improvements across the teams processes and tooling.

Collaborate with service teams across Amazon to identify and resolve migration blockers

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.

Perform deep dive on services with different compute type to generate recommendations for optimization of resources.

A day in the life
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. Youll 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. Youll also mentor team members participate in design reviews and collaborate with Seattle-based leadership on strategic priorities.

About the team
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. We are an exceptionally talented and fun-loving team. Here youll have the opportunity to dive deep into complex business and data problems drive large-scale technical solutions and raise the bar for operational excellence. We love sharing ideas and learning from each other and we believe in using those ideas to disrupt the status quo.

- 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
- Bachelors 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 professional software development experience
- Knowledge of systems engineering fundamentals (networking storage operating systems)

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

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Required Experience:

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