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

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified last checked Jun 13, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Principal Software Engineer - PubMatic AgenticOS (Buy Side Bidding Platform) Redwood City, US About the Role We are seeking an experienced Principal Software Engineer - PubMatic AgenticOS to lead the design and development of highly scalable, low-latency buy-side ad tech systems. This role is ideal for someone with deep expertise in Golang, real-time bidding systems, and campaign pacing and optimization algorithms, with strong exposure to DSP / performance advertising domains. As a technical leader, you will own critical components of the bidding and optimization stack, influence system architecture, mentor senior and junior engineers, and work closely with product, ML, and data teams to drive measurable performance outcomes across large-scale advertising campaigns. 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.

Read the full description at pubmatic.com. FewerJobs shows a source-linked preview and links to the original posting.