Sr. Software Development Engineer, Amazon Quick
Amazon - New York, New York, USA
Posted May 18, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
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- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
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About this role
Sr. Software Development Engineer, Amazon Quick New York, New York, USA Are you interested in building AWS AI services that use Machine Learning and LLM technology. Amazon is growing, and we need Senior Software Development Engineers who move fast, are capable of breaking down and solving complex problems, and have a strong will to get things done. This is an opportunity to work with an experienced team of engineers and scientists on an innovative AI service; you will get the chance to work with the newest machine learning technologies, including LLMs, on a product with a high degree of visibility within AWS. As a Senior Software Development Engineer, you will provide technical leadership and own team-level architecture for our AI data pipeline and large-scale distributed systems serving our worldwide customer base. You will lead projects requiring work from multiple engineers, designing solutions for complex problems where the business direction is understood but the technology strategy needs to be defined. In this role, you will collaborate closely with a team of AI Applied Scientists and engineers across related teams, driving consensus on technical approaches and influencing the team's long-term technical roadmap. You will balance constraints between short-term delivery and long-term architectural needs, ensuring solutions are extensible, performant, and secure. Key job responsibilities * Lead the design and implementation of distributed AI data pipelines and systems, providing system-wide architectural guidance * Balance speed of execution with architectural requirements, identifying one-way door decisions that require the right long-term solution * Drive adoption of
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