Software Development Engineer, Amazon Personalization

About the role

Customer360 ReadService (C360RS) is the real-time read layer of Amazon's central customer memory system. We're a team within Amazon Personalization that builds and operates the APIs partner teams across Amazon rely on to understand their customers. When Alexa needs to know a customer's brand preferences, when Prime Video wants to personalize recommendations based on recent purchases, or when Rufus needs to recall that a customer has a bicycle in need of a new seat, they call us. We're a high-ownership team running a highly scaled Tier 1 service across all of Amazon's marketplaces. We take pride in making customer data fast, reliable, and easy to consume. We value operational excellence, pragmatic engineering, and a collaborative culture where everyone has a direct line to the decisions that shape the platform.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 1+ years of software development engineer or related occupational experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language
• 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
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation wi

Additional Information

Are you excited about building systems that power personalized experiences for hundreds of millions of Amazon customers? Customer360 is Amazon's central customer memory system that standardizes behavioral and profile data from across Stores, Prime Video, Music, Kindle, Audible, Alexa, and other Amazon surfaces. We serve these memories at scale to customer all across amazon's businesses, enabling any team or AI agent at Amazon to understand a customer without independently integrating with dozens of data sources. We're looking for a Software Development Engineer to help us scale C360 as we continue to grow and better understand Amazons customers. We are building contextual retrieval capabilities using embedding-based semantic search, connecting Amazon's different businesses together, and scaling our platform to support all of Amazon in delighting our customers. Key job responsibilities Design, build, and operate low-latency, high-throughput distributed systems serving real-time customer data at Amazon scale Develop and extend the C360 read APIs, including contextual retrieval features powered by embedding-based semantic search Own the full lifecycle of features from design through deployment worldwide Collaborate with 100+ partner teams across Amazon to onboard new customer datatypes and enable personalization use cases Participate in operational excellence for a Tier 1 service, including on-call rotations, alarm tuning, and incident response Contribute to the architecture of our hot layer (sub-second freshness, in-memory cache, 28-day retention) and icy layer (batch, permanent storage) data systems A day in the life You might start your morning triaging a request from the Alexa team who needs us to help claw back latency for a launch next month. You dig into the schema, work through the retrieval strategy with your team, and draft a short design doc. After lunch, you pick up a code review from a teammate who's optimizing how we serve filtered reads for a high-TPS Prime Video use case. In the afternoon, you're on a call with a producer team onboarding their first dataset. You walk them through our APIs, helping them validate their data in our beta environment, and making sure they're set up for a smooth launch. Before wrapping up, you push a quick fix for an alarm that's been noisy and update the runbook so the next on-call has better context.

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