Software Development Engineer, ElastiCache
Amazon - Vancouver, British Columbia, CAN
Posted Apr 22, 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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- Salary
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
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About this role
Software Development Engineer, ElastiCache Vancouver, British Columbia, CAN This is an opportunity to join one of AWS's most foundational and high-impact engineering teams - the Data Plane team within Amazon ElastiCache and MemoryDB. We own the core in-memory engine that powers millions of customer workloads: the data path, durability layer, replication protocol, snapshot system, and advanced data structures. Our work sits at the intersection of systems programming, database internals, and performance engineering - every microsecond matters when you're serving the world's most latency-sensitive applications. If you've ever found yourself deep in a conversation about write-ahead logs, copy-on-write fork semantics, lock-free data structures, or memory allocator design - and you want to apply those ideas to a system handling millions of operations per second at cloud scale - this team is where you belong. We build the engine behind Amazon MemoryDB, the only Valkey-compatible database that delivers in-memory speed with Multi-AZ durability. We're not just running an open-source cache; we're extending Valkey with novel capabilities - durable replication, active-active conflict resolution, full-text and vector search - while maintaining the sub-millisecond latencies our customers depend on. Our customers include Disney+, Snap, Zoom, Lyft, Airbnb, and hundreds of thousands of other AWS customers who trust us with their most performance-critical workloads. You'll work in C/C++ at the lowest levels of the stack, solving problems in memory management, I/O optimization, replication protocols, and distributed data systems - all in production at massive scale. Key job responsibilities As a Software Development Engineer on the Data
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