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 professional 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.

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