Sr. Software Development Engineer, Advanced Analytics

Amazon Inc.; Seattle (WA); On-site; USD 168,000 - 227,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Amazon.com Services LLC is seeking a Sr. Software Development Engineer for the Advanced Analytics team in Seattle.

You will design and build the data infrastructure to ingest, process, store, and analyze petabyte-scale log-level advertising data from multiple sources, enabling real-time and batch analytics to surface insights and revenue opportunities. You will own end-to-end architecture, implementation, and production operations, mentoring engineers and shaping the technical direction of the

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.

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

Skills

Mentorship

Tech leadership

Engineering team leadership

Education

Bachelor's degree in computer science or equivalent

Job description

Sr. Software Development Engineer, Advanced Analytics

Job ID: 10508484 | Amazon.com Services LLC

We build advanced analytic solutions that power measurement and intelligence for Amazon Ads' most strategic customers: Holding Companies, independent agencies, technology integrators, and large-scale advertisers.

Our team owns and operates the premier advanced analytics capability within Amazon Ads, delivering innovative AI, modeling, and data solutions that help customers make smarter, faster, and more impactful advertising decisions.

Transparency is reshaping programmatic advertising. As the ecosystem grows (with multiple layers in the ad buying and selling supply chain) advertisers demand granular visibility into every impression, bid, viewability score, and supply path.

Log-level data makes this possible: raw, non-aggregated, event-level signals from ad servers, exchanges, and SSPs that unlock insights no dashboard summary can provide.

As a Senior Software Development Engineer on the Log-Level Data team, you will design and build the foundational infrastructure to ingest, process, store, and analyze this data at petabyte scale. Your systems will power our organization's ability to understand auction dynamics, surface revenue opportunities, optimize floor pricing, and deliver supply-chain transparency to Amazon's largest advertising partners.

You’ll own end-to-end, from architecture and implementation through to production operations, and your work will directly shape the next generation of advertising measurement.

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 contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
• Experience using managed ML/AI solutions

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. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually

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.