Sr. Software Development Engineer, Advanced Analytics

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
• Arcitect 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 natural language processing and generative model architectures
• Demonstrated track record of innovative AI solution development