Senior Software Engineer, FTVX Team (Whole World)
Amazon - Seattle, Washington, USA
Posted Apr 9, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- $168K-$227K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
70% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Software Engineer, FTVX Team (Whole World) Seattle, Washington, USA Fire TV Catalog powers the content discovery experience for tens of millions of customers worldwide. At its core, the catalog must answer a deceptively hard question: is this the same movie, show, game, or clip across dozens of providers? The Matching team owns entity resolution - the system that groups provider items referring to the same real-world content into unified clusters. This is what makes it possible for a customer to see a single tile for a movie with rent, buy, and subscription options from multiple services side by side, rather than a fragmented wall of duplicates. Our matching pipeline processes tens-of-millions of records incrementally across single-host and distributed architectures, maintaining low end-to-end latency while handling complex deduplication across hundreds of content providers. We already leverage LLMs in production for match inference - using large language models to reason about whether two items represent the same content in cases where traditional signals are ambiguous or insufficient. As Fire TV expands into short-form video, live sports, and new entity types, the matching problem is evolving - traditional title/year/ID signals don't always apply, temporal and event-based matching introduces new dimensions, and the scale and diversity of content continues to grow. A Senior SDE will be the technical leader for the Matching team. You will own the architecture and direction of our entity resolution systems, and you'll be expected to lead by example in leveraging AI - both as a tool for accelerating
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