Sr. Software Development Engineer, Advanced Analytics

We build advanced analytic solutions to support the measurement and intelligence needs of Amazons 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.

In the programmatic advertising industry transparency has become increasingly critical as the ecosystem expands with multiple layers in the ad selling and buying supply chain. Log-level datagranular non-aggregated event-level information from ad servers exchanges and SSPsprovides advertisers with unprecedented visibility into individual ad impressions bid prices viewability scores and supply path. This role will build the foundational infrastructure to capture process store and analyze this raw data at petabyte scale empowering our organization to understand auction competitiveness identify revenue opportunities optimize floor pricing and ensure supply chain transparency.

As a Senior Software Development Engineer on the Log-Level Data team you will build the foundational infrastructure to capture process store and analyze this raw data at petabyte scale. Your work will empower our organization to understand auction competitiveness identify revenue opportunities optimize floor pricing and ensure supply chain transparency for Amazons largest advertising partners.

The ideal candidate is a creative demonstrated leader with excellent analytical abilities and a strong drive to deliver results. You should be passionate about solving complex technical challenges comfortable operating in ambiguous environments and excited about the opportunity to build foundational infrastructure that will power the next generation of advertising measurement and transparency solutions.

This role requires deep technical expertise strong problem-solving skills and exceptional communication abilities. You should be able to think strategically about system architecture while also diving deep into implementation details. Youll need to balance competing priorities make pragmatic trade-offs and maintain high standards for code quality and operational excellence.

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

- 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

- 5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company Amazons 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.

CAN ON Toronto - 150700.00 - 251700.00 CAD annually

Required Experience:

Senior IC

Employment Type : Full-Time
Department / Functional Area: Software Development
Experience: years
Vacancy: 1