2 months ago
Pune, IndiaStaff+
Responsibilities
- 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 using Golang, C, and C++.
- Design campaign pacing, budget management, and delivery optimization algorithms for CPA, ROAS, CTR, and CVR objectives.
- Own deal execution, auction participation, bid shading, and supply path optimization systems.
- Build real-time and near-real-time data pipelines for impressions, clicks, conversions, and attribution using Kafka, Flink, or Spark.
- Collaborate with ML engineers to productionize bid optimization, contextual bandit, reach forecasting, and incrementality models.
- Integrate and maintain OpenRTB, VAST, and CTV-specific programmatic advertising standards.
- Drive architecture decisions involving scalability, fault tolerance, data consistency, and latency optimization.
- Perform production profiling, latency tuning, and distributed-systems debugging.
- Mentor engineers, establish coding and design standards, and lead technical reviews.
- Evaluate technologies, auction strategies, and optimization frameworks.
Requirements
- At least eight years of software engineering experience with significant ad tech, performance advertising, or buy-side DSP bidder experience.
- Strong hands-on Golang experience 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 such as Kafka, Flink, or Spark Streaming.
- Strong familiarity with OpenRTB, VAST, and programmatic advertising workflows.
- Knowledge of SQL, PostgreSQL, and large-scale analytics platforms such as Snowflake or BigQuery.
- Experience with AWS, GCP, or Azure and containerized environments using Docker and Kubernetes.
- Strong foundation in data structures, algorithms, and distributed-system design.
- Experience working cross-functionally with product, data science, analytics, and ML teams.
- Ability to own systems end-to-end, influence architecture, deliver at scale, drive technical direction, and mentor engineers.
- Bachelor’s degree in engineering, such as Computer Science or Information Technology, or an equivalent degree.
- Ability or willingness to use generative AI tools and IDEs such as GitHub Copilot, ChatGPT, Claude, Cursor, or Windsurf.
Benefits
- Hybrid schedule with three days in the office and two days working remotely.
- Paid leave programs and paid holidays.
- Healthcare, dental, vision, disability, and life insurance.
- Commuter benefits, physical and financial wellness programs, and unlimited DTO in the US.
- Mobile reimbursement, fully stocked pantries, and in-office catered lunches five days per week.
Tech Stack
Apache FlinkApache KafkaAWSAzureCC++DockerGoGoogle BigQueryGoogle Cloud PlatformKubernetesPostgreSQLSnowflakeSQL
Categories
About PubMatic
PubMatic builds a sell-side programmatic advertising platform that helps digital publishers and commerce media networks monetize display, mobile, video, and in‑app inventory by connecting them with DSPs and buyers. Its business model centers on fees from real-time ad auctions and related services, including RTB, yield optimization, and AI-driven decisioning. Founded in 2006, the company is headquartered in Redwood City, California, and is listed on NASDAQ under the ticker PUBM.