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 team's 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. 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. You'll 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, 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. 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
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 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 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.
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