Sr. Software Development Engineer, Advanced Analytics

Amazon; Toronto; On-site; CAD 151,000 - 252,000; Full time

Benefits offered by this job

Health insurance

RRSP

DPSP

Paid time off

Well-being resources

Job summary

Amazon Development Centre Canada ULC in Toronto seeks a senior software engineer to design and build scalable data pipelines and distributed systems for petabyte-scale advertising data. You will enable real-time and batch processing with sub-second latency and drive data quality and accessible analytics.

You will mentor engineers, collaborate with data scientists and product partners, and help establish operations, monitoring, and reliability practices across mission-critical data infrastructure.

Qualifications

• 5+ years of professional software development experience.
• 5+ years of programming with at least one language.
• 5+ years of leading design or architecture of new and existing systems.
• Experience as a mentor, tech lead, or leading an engineering team.

Responsibilities

• Design and build highly scalable, fault-tolerant data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources.
• Architect distributed systems enabling real-time and batch processing with sub-second latency.
• Develop robust data quality frameworks to validate, cleanse, and enrich raw log data with traceability.
• Create storage solutions optimized for high-throughput writes and analytical queries across massive datasets.
• Build APIs and data access layers for downstream analytics, modeling, and reporting applications.

Skills

Scalable data pipelines

Distributed systems

Real-time processing

Data quality & governance

Mentor / Tech lead

API development

Education

Bachelors in CS or equivalent

Job description

We build advanced analytic solutions to support the measurement and intelligence needs of Amazon's most strategic advertising customers — Holding Companies, independent agencies, technology integrators, and large-scale advertisers. We own and operate the premier advanced analytics capability within Amazon Ads, delivering AI, modeling, and data solutions that empower our customers to make smarter, faster, and more impactful advertising decisions.

Key job responsibilities

• Design and build highly scalable, fault-tolerant data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources including ad servers, exchanges, and SSPs
• Architect distributed systems that enable real-time and batch processing of granular event-level data with sub-second latency requirements
• Develop robust data quality frameworks to validate, cleanse, and enrich raw log data while maintaining data lineage and audit trails
• Create efficient storage solutions optimized for both high-throughput writes and complex analytical queries across massive datasets
• Build APIs and data access layers that enable downstream analytics, modeling, and reporting applications to leverage log-level data
• Collaborate with data scientists, product managers, and business stakeholders to translate transparency and measurement requirements into technical solutions
• Establish operational excellence practices including monitoring, alerting, and automated recovery mechanisms for mission-critical data infrastructure
• Mentor junior engineers and contribute to the technical direction of the team through design reviews, code reviews, and architectural discussions
• Drive innovation in data processing techniques, exploring emerging technologies and methodologies to improve system performance and capabilities

Basic Qualifications

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

• 5+ 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
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• 3+ years of building large-scale machine learning and AI solutions at Internet scale experience

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
• other resources to improve health and well-being

CAN, ON, Toronto - 150,700.00 - 251,700.00 CAD annually

Company - Amazon Development Centre Canada ULC

Job ID: A10478037