Principal Software Engineer – Mobile App Monetization

What You'll Do:

• Architect and implement scalable APIs and backend services powering mobile app monetization, including SDK-driven request handling, real-time targeting, ML-based decisioning, and campaign selection logic.

• Develop
  low-latency, high-throughput server-side systems
  capable of handling billions of RTB bid requests daily.

• Collaborate with ML Engineering and Data Science teams to integrate models for
  yield optimization
  and
  performance enhancement
  .

• Design and support
  A/B testing and experimentation frameworks
  to evaluate monetization strategies across diverse ad traffic.

• Contribute to the long-term
  technical strategy
  and roadmap for the mobile monetization platform.

• Champion engineering best practices in
  observability
  ,
  fault tolerance
  ,
  API performance
  , and
  modular architecture
  .

Who You Are:

• Five plus years of backend engineering experience
  , with a proven track record of building
  high-scale, low-latency systems
  , preferably in the
  mobile app advertising
  or programmatic AdTech domain.

• Strong programming expertise in
  C++
  , with additional experience in
  Go
  or
  Java
  . Solid understanding of
  Linux/UNIX environments
  and system-level programming (multi-threading, multi-processing, memory management).

• Proficient in
  data structures, algorithms
  , and core
  computer science principles
  , with experience designing
  modular, scalable, and fault-tolerant systems
  .

• Deep understanding of
  programmatic advertising workflows
  , including
  RTB
  ,
  OpenRTB 2.x/2.6
  ,
  bid lifecycle
  , and
  mobile SDK monetization
  .

• Experience integrating with
  DSPs, ad exchanges, mediation platforms
  , and working with
  SDK-DSP-SSP pipelines
  , including
  device graph utilization
  and
  session-aware ad serving
  .

• Familiarity with
  rewarded video
  ,
  native ad formats
  ,
  in-app gaming monetization
  , and
  mobile-specific privacy regulations
  (e.g.,
  ATT
  ,
  COPPA
  ).

• Hands-on experience with
  real-time ML inference pipelines
  , working closely with ML engineers and integrating model predictions into latency-sensitive systems.

• Practical knowledge of
  containerized and microservice architectures
  , with experience in
  API integrations
  ,
  caching solutions
  ,
  data stores
  , and
  cloud-native deployments
  .

• Skilled in
  troubleshooting production issues
  , performing root cause analysis, and supporting live systems with minimal downtime.

• Ability to write
  clean, modular, loosely coupled code
  and develop systems with strong observability and monitoring.

• Exposure to
  generative AI tools
  and familiarity with
  prompt engineering
  and
  AI-powered developer environments
  .

• Working knowledge of scripting languages such as
  Python
  ,
  Shell
  , or
  Perl
  , and hands-on experience with relational databases, preferably
  MySQL
  .

• Excellent interpersonal, written, and verbal communication skills with a collaborative mindset and strong ownership over deliverables.

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:Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!

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.

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