Senior SDE: Log-Level Analytics & Data Infrastructure

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

Benefits offered by this job

RSUs

Sign-on payments

401(k) matching

Paid time off

Parental leave

Health insurance (health, dental, and视

Job summary

Amazon.com Services LLC is seeking a Senior Software Development Engineer for the Log-Level Data team in Seattle, WA. You will design and build scalable data pipelines, architect distributed processing systems, and ensure data quality across petabyte-scale log data from multiple sources.

You will partner with data scientists, product managers, and engineers to deliver real-time and batch analytics and drive operational excellence.

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.
• 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.
• Experience using managed ML/AI solutions.

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

Software development

Programming experience

System design

Mentorship

Education

Bachelor's degree in computer science or equivalent

Tools

ML frameworks

LLM fundamentals

Job description

Amazon.com Services LLC is seeking a Senior Software Development Engineer for the Log-Level Data team in Seattle, WA. You will design and build scalable data pipelines, architect distributed processing systems, and ensure data quality across petabyte-scale log data from multiple sources.

You will partner with data scientists, product managers, and engineers to deliver real-time and batch analytics and drive operational excellence.