Principal Software Engineer - Performance Advertising

Insight Global
Redwood City, CA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Amazon Web Services Business Analytics Applications Microsoft Azure BigQuery Computer Programming Data Structures Distributed Systems Python (Programming Language) Performance Tuning Software Engineering SQL Databases
+9 more
Data Streaming Google Cloud Real Time Systems Snowflake Kubernetes Apache Flink Apache Kafka Spark Streaming Docker

Requirements

About the Role We are looking for a highly motivated Senior Software Engineer - Performance Advertising Platforms with 4-7 years of experience in building large-scale, low-latency ad tech systems, ideally within performance DSPs, SSPs, or other programmatic advertising platforms. The ideal candidate takes full ownership of their work, thrives in cross-functional collaboration, and is passionate about optimizing campaign performance through high-throughput, real-time systems. In this role, you will design and develop core components for deal execution, optimization, and attribution, mentor junior engineers, and contribute to delivering impactful performance advertising solutions that drive measurable business outcomes., * 4-7 years of experience in software engineering with a focus on ad tech / performance advertising systems. * Strong programming skills in Java or Scala (Python a plus). * Hands-on experience with real-time streaming frameworks (Kafka Streams, Flink, Spark Streaming) and distributed systems. * Familiarity with programmatic advertising protocols (OpenRTB, VAST) and campaign delivery workflows. * Proficiency in SQL and experience with large-scale analytics platforms (Snowflake, BigQuery, or similar). * Practical experience in low-latency system design and performance tuning. * Exposure to attribution modeling, incrementality measurement, and performance KPIs (CPA, ROAS, CTR, CVR). * Understanding of cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). * Strong foundation in data structures, algorithms, and distributed architecture. * Experience working closely with product managers, data scientists, and analytics teams in ad tech. * Proven ability to own projects end-to-end and deliver high-quality, scalable solutions.

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