Software Dev Engineer II, Amazon Aurora DSQL
Amazon - Seattle, Washington, USA
Posted Apr 10, 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
- Surrogacy assistance: Not verified
- 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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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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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
State eligibility is not yet verified.
About this role
Software Dev Engineer II, Amazon Aurora DSQL Seattle, Washington, USA Aurora DSQL is a serverless, distributed SQL database with virtually unlimited scale, high availability, and zero infrastructure management. Aurora DSQL automatically scales compute, I/O, and storage, so it can efficiently adapt to any workload needs. The active-active serverless design automates failure recovery, so customers don't have to worry about traditional database failover. Aurora DSQL helps customers to build and maintain applications that are always available at any scale. This is a unique and rare opportunity to get in on the ground floor of a fast-growing business and help shape the technology that will power transactional and analytical workloads for Fortune 500 companies, start-ups, and everything in between. If contributing to the design and development of this new, first-of-its-kind database excites you, then this role may perfectly fit your career aspirations. Join us during this formative period of the product and be a leader in shaping the future of databases at Amazon and beyond! Aurora DSQL's BOM team tackles some of the most challenging problems in distributed systems at hyperscale. How do you accurately meter billions of transactions across a globally distributed, active-active database in real-time while ensuring every customer is billed correctly? How do you build observability systems that provide deep insights into a distributed SQL engine without impacting performance? How do you benchmark a database that can scale infinitely and make those tools available to customers worldwide? How do you predict capacity needs for a system that can grow
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