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 ingestionDevelop telemetry features supporting observability at scaleOptimize queries through data layout and partitioningBuild self-serve traffic pattern investigation interfacesPartner with teams to onboard telemetry sourcesRequirements:

Three years of skilled software development experienceTwo years designing or architecting new and existing systemsProgramming experience with at least one software languageThree years across the full software development life cycleBachelor’s degree in computer science or equivalent preferredApply software development, streaming pipelines, query optimization, and telemetry expertise to Amazon’s edge observability systems.

📌 Software Development Engineer Streaming Data (Winnipeg)
🏢 Amazon
📍 Winnipeg