Software Development Engineer, Edgelink ML, Amazon Traffic Engineering

Amazon.com, Inc.

Vancouver

On-site

CAD 120,000 - 160,000

Full time

3 days ago
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Job summary

Amazon is seeking a Software Development Engineer for the Edgelink ML team within Amazon Traffic Engineering. You will design streaming pipelines, optimize queries over large datasets, and build a self-serve interface for teams to investigate traffic patterns.

You will join a fast-moving, on-call capable group responsible for reliable, low-latency data delivery. You will work with edge telemetry, real-time processing, and data quality challenges, contributing to architecture decisions and the

Qualifications

  • 3+ years of non-internship software development experience.
  • 2+ years of design or architecture experience of new and existing systems.
  • Experience programming with at least one software language.

Responsibilities

  • Design and ship streaming pipelines and telemetry features for real-time ingestion and observability at scale.
  • Optimize and speed up data queries over large datasets through better data layout and partitioning.
  • Build a self-serve interface that lets teams investigate traffic patterns without engineering help.
  • Build data solutions that make edge systems easier to see, understand, and operate.
  • Automate toil and expand self-serve data query capabilities.
  • Power insight reports that help teams triage availability issues and abuse incidents quickly.
  • Write clean, maintainable code to keep the platform stable.
  • Collaborate with other teams to bring in new telemetry sources and delight customers.
  • Join the on-call rotation to keep the platform available 24x7.

Skills

Software development experience
System design & architecture
Programming knowledge

Education

Bachelor's degree in CS or equivalent

Job description

Software Development Engineer, Edgelink ML, Amazon Traffic Engineering

Every second, billions of signals flow in from browsers and edge services around the world. Trails turns that firehose into live, trustworthy data at the point where traffic first meets Amazon. When something goes wrong, or someone is trying to abuse the system, the pipelines you build are how teams see it first.


Trails is a unified edge observability platform. We bring client-side and edge telemetry into one governed data lake, with fine-grained access control built in. Streaming applications deliver live data to downstream detection, mitigation, and traffic insight systems, where latency is measured in seconds, not hours. You will own the data those real-time decisions depend on, and your work will show up quickly in how teams resolve real incidents. Our tools include automated traffic intelligence reports, guided investigation workflows, and dashboards that builders across the company rely on. You will make queries over huge datasets dramatically faster and build the self-serve interface that lets teams investigate traffic patterns on their own. The platform is young, so you will have real say in architecture and direction while solving hard problems in ingestion, data quality, and low-latency delivery.


Key job responsibilities


  • Design and ship streaming pipelines and telemetry features for real-time ingestion and observability at scale.

  • Optimize and speed up data queries over large datasets through better data layout, partitioning, and query design.

  • Build a self-serve interface that lets teams investigate traffic patterns without needing engineering help.

  • Build data solutions that make edge systems easier to see, understand, and operate.

  • Automate away toil and expand self-serve data query capabilities.

  • Power insight reports that help teams triage availability issues and abuse incidents fast.

  • Write clean, maintainable code that keeps the platform stable.

  • Partner with other teams to bring in new telemetry sources and delight customers.

  • Join the on-call rotation to keep the platform available 24x7.


Basic Qualifications


  • 3+ years of non-internship professional software development experience

  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

  • Experience programming with at least one software programming language


Preferred Qualifications


  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

  • Bachelor's degree in computer science or equivalent


Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.


Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.


Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.

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