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

PubMatic; Maharashtra; Hybrid; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Hybrid work model (3 days in office, 2

Health insurance

Job summary

PubMatic in India is seeking a Principal Software Engineer to lead the PubMatic AgenticOS bid/optimization stack. You will architect ultra-low-latency bidding systems and mentor engineers across product, ML, and data teams.

You will design pacing, budgeting, and delivery optimization; collaborate on data pipelines and real-time analytics; and ensure OpenRTB and programmatic protocol support while driving scalability and data governance.

Qualifications

• Eight or more years of software engineering experience in ad tech or performance advertising.
• Strong hands‑on Golang experience for low‑latency, high‑scale backend systems.
• Proven experience designing real‑time bidding platforms and bidder systems.
• Deep understanding of campaign pacing, budgets, and optimization algorithms.
• Experience with streaming/distributed systems (Kafka, Flink, Spark).
• Familiarity with OpenRTB, VAST, and programmatic ad workflows.
• SQL knowledge (PostgreSQL) and large-scale analytics platforms.

Responsibilities

• Architect, design, and build high-throughput, ultra-low-latency real-time bidding systems for buy-side advertising.
• Lead 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.
• Own core systems for deal execution, auction participation, bid shading, and supply path optimization.
• Build and evolve data pipelines for impressions, clicks, conversions using Kafka, Flink, or Spark.
• Collaborate with ML engineers to productionize bid optimization and forecasting models.
• Integrate OpenRTB, VAST, and programmatic ad protocols; drive scalability and latency improvements.
• Mentor engineers, set standards, and drive architectural decisions for the platform.

Skills

Golang

Real-time bidding

Distributed systems

QPS

Low latency

OpenRTB

SQL

AWS

Kubernetes

Data pipelines

Education

Bachelor's degree in Engineering (CS/IT)

Tools

Kafka

Flink

Spark

Docker

Kubernetes

Job description

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.

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.
• 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.

We’d Love for You to Have

• 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.

AI-Enabled Engineering Mindset

We value engineers who actively leverage Generative AI tools and IDEs (e.g. GitHub Copilot, ChatGPT, Claude, Cursor, Windsurf etc.) to accelerate development, improve code quality, automate repetitive tasks, and enhance documentation and debugging workflows. Engineers who demonstrate AI-first thinking using these tools to drive faster experimentation, ideation, and technical execution will thrive in our high-scale, performance‑critical environment.

Qualifications

• Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from well‑known Institutes / Universities.

Additional Information

Return to Office

PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions.

Benefits:

• paid leave programs
• paid holidays
• healthcare
• dental and vision insurance
• disability and life insurance
• commuter benefits
• physical and financial wellness programs
• unlimited DTO in the US (that we actually require you to use!)
• reimbursement for mobile
• fully stocked pantries
• in‑office catered lunches 5 days per week

Diversity and Inclusion

PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

About PubMatic

PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes.

Founded in 2006 with the vision that data‑driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi‑screen and multi‑format content that consumers demand.