Principal Software Engineer - PubMatic AgenticOS (Buy Side Bidding Platform)

What you'll do

• Architect, design, and build high-throughput, ultra-low-latency real-time bidding systems for buy-side advertising platforms.
• Lead development of bidder services handling millions of QPS with strict latency and reliability SLAs using Golang/C/C++.
• Design and implement campaign pacing, budget management, and delivery optimization algorithms across multiple objectives (CPA, ROAS, CTR, CVR).
• Own core systems for deal execution, auction participation, bid shading, and supply path optimization.
• Build and evolve real-time and near-real-time data pipelines for impressions, clicks, conversions, and attribution using Kafka, Flink, or Spark.
• Collaborate closely with ML engineers to productionize models such as bid optimization, contextual bandits, reach forecasting, and incrementality models.
• Integrate and maintain support for programmatic advertising protocols (OpenRTB, VAST, CTV-specific standards).
• Drive architectural decisions around scalability, fault tolerance, data consistency, and latency optimization.
• Ensure data quality, governance, privacy, and compliance across the performance advertising stack.
• Conduct deep performance profiling, latency tuning, and debugging of distributed systems in production.
• Mentor engineers, set coding and design standards, and lead technical reviews across teams.
• Evaluate and introduce new technologies, auction strategies, and optimization frameworks to keep the platform competitive.

Requirements

• Eight plus years of software engineering experience, with significant depth in ad tech / performance advertising / building DSP bidder (Buy side).
• Strong hands-on experience with Golang in building low-latency, high-scale backend systems.
• Proven experience designing and operating real-time bidding platforms, bidders, or ad serving systems.
• Deep understanding of campaign pacing, budget allocation, and performance optimization algorithms.
• Experience with streaming and distributed systems (Kafka, Flink, Spark Streaming).
• Strong familiarity with OpenRTB, VAST, and programmatic advertising workflows.
• Solid knowledge of SQL, PostgreSQL and large-scale analytics platforms (Snowflake, BigQuery, or similar).
• Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes).
• Strong foundation in data structures, algorithms, and distributed system design.
• Experience working cross-functionally with product, data science, analytics, and ML teams.
• Demonstrated ability to own systems end-to-end, influence architecture, and deliver at scale.
• Excellent communication skills with the ability to drive technical direction and mentor others.
• Bachelor’s degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities.

Tech stack

Benefits