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Join a team of passionate thinkers innovators and dreamers and help us connect people and build communities to create economic opportunity for all.
Job Summary
This role designs builds and operates software systems that support data processing and applied modeling workflows in production. The position includes building and maintaining pipelines deploying and operating services and partnering across engineering teams to deliver reliable observable and maintainable solutions. Work spans multiple project types and technical domains requiring flexibility and strong execution across ambiguous problem areas.
Build and maintain production software used for batch processing scheduled jobs and service-based workflows
Develop and operate data pipelines including full refresh and incremental processing patterns
Implement and support deployment workflows for services and model-backed components including fixing failures and improving reliability
Perform data transformations and define/maintain structured data formats for downstream systems
Drive operational improvements: monitoring alerting runbooks incident follow-up and performance tuning for long-running workloads
Collaborate with platform data and partner engineering teams to integrate solutions end-to-end
Supply through code reviews documentation and incremental improvements to shared tooling and services
Identify and resolve blockers spanning code data environment configuration and runtime constraints
3 years of professional experience in software engineering
Strong programming skills in Python and/or another general-purpose language used for backend development
Experience building or operating production systems (services pipelines scheduled jobs or similar)
Practical experience debugging issues across logs/metrics application code and data
Comfort working across multiple parallel initiatives with changing priorities
Experience with distributed or large-scale data processing (batch and/or streaming)
Experience with containerized runtime environments and deployment pipelines
Familiarity with data warehousing concepts schema changes and data quality checks
Exposure to applied modeling or model-adjacent systems (training/inference pipelines feature generation evaluation or serving) without requiring the role to be solely focused on modeling
Independently delivers well-scoped features and operational improvements
Owns implementation and day-to-day reliability for assigned systems and pipelines
Raises risks early and drives issues to closure with appropriate partners
Produces maintainable solutions aligned with established patterns and standards
If you want this to match your orgs naming more tightly the closest alternate title that still avoids ML-first framing is Software Engineer II Data Platforms (same posting body).
The base pay range for this position is expected in the range below:
C$98800 - C$131900Base pay offered may vary depending on multiple individualized factors including location skills and experience. The total compensation package for this position may also include other elements including a target bonus and restricted stock units (as applicable) in addition to a full range of medical financial and/or other benefits (including RRSP eligibility various paid time off benefits such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Additional Details
This job posting relates to an existing vacancy within eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin sex sexual orientation gender identity and disability or other legally protected you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility.
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