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Amazon · New York, NY

Software Development Engineer , Ads Data Manager

US, NY, New YorkManager or leadSoftware Engineering

Listed on Amazon’s official careers site. Posted October 13, 2026. Check that it is still open and apply there.

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Job description

Build the innovative solutions that power Amazon Marketing Cloud's partner ecosystem — ingesting billions of behavioral signals daily at the intersection of massive-scale streaming systems, machine learning, and cloud-native development. You'll develop greenfield services integrating with nearly all advertising business verticals at Amazon while building SaaS integration products for external customers and partners.

Our services process billions of signals daily where speed, scale, and accuracy are critical. You'll work across exciting CS domains (massive-scale streaming, ML, data science, cloud-native) and the advertising domain — enabling advertisers, agencies, and SaaS providers to seamlessly integrate and control their experience with Amazon AdTech products. Our tech stack includes native AWS, Kotlin, React.js, and Next.js. If you're energized by working with the latest technologies to massively scale a new product and love discovering the true requirements underlying feature requests, this is your team.

Key job responsibilities

- Design and build greenfield services that integrate with advertising business verticals across Amazon, enabling partner and SaaS ecosystem growth

- Develop and operate massive-scale streaming systems that ingest billions of behavioral signals daily with strict latency and accuracy requirements

- Build SaaS integration products for external customers and partners — enabling seamless control of their Amazon AdTech experience

- Partner with Professional Services and Tech Integration teams to discover requirements, simplify complex problems, and deliver innovative solutions

- Work across the full stack (AWS, Kotlin, React.js, Next.js) to deliver cloud-native, production-quality systems

- Collaborate with peers to solve problems spanning machine learning, data science, and large-scale distributed systems

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