Build streaming pipelines and telemetry features for Amazon Traffic Engineering’s real-time edge observability platform. Work with large datasets, queries, and low-latency delivery.

As a Software Development Engineer on Edgelink ML, you will develop systems supporting Trails, Amazon’s unified edge observability platform. You will improve ingestion, data quality, query performance, and self-serve investigation capabilities. Your work will support detection, mitigation, traffic insight, and incident response systems.

Key Responsibilities:
Design and ship streaming pipelines for real-time telemetry ingestion
Develop telemetry features supporting observability at scale
Optimize queries through data layout and partitioning




Build self-serve traffic pattern investigation interfaces
Partner with teams to onboard telemetry sources

Requirements:
Three years of qualified software development experience
Two years designing or architecting recent and existing systems
Programming experience with at least one software language
Three years across the full software development life cycle
Bachelor’s degree in computer science or equivalent preferred

Apply software development, streaming pipelines, query optimization, and telemetry expertise to Amazon’s edge observability systems.
J-18808-Ljbffr

📌 Software Development Engineer Streaming Data Vancouver
🏢 Amazon
📍 Vancouver