Principal/Senior Software Engineer - Java

We are hiring a Principal/Senior Software Engineer to lead the design and evolution of our high-frequency, large-scale AdTech platform. This pivotal role blends deep expertise in Java backend systems with cutting-edge Generative AI applications. You’ll own complex software systems end-to-end, shape the organization’s technical direction, and thrive at the intersection of extreme scale - trillions of daily transactions - and bold innovation.

What You’ll Do:

• Lead architectural vision for scalable, high-performance systems meeting strict security and maintainability standards.
• Create and present independent design reviews; translate feature requirements into robust technical designs with end-to-end ownership of planning, execution, and release.
• Propose and integrate Generative AI to optimize ad delivery, targeting, and system efficiency.
• Develop and maintain scalable backend services using Java, Spring Boot, RabbitMQ, Elasticsearch, and related frameworks.
• Design efficient data models and optimize MySQL/PostgreSQL queries for high performance and reliability at massive scale (trillions in data volume, concurrency, transactions).
• Implement observability with comprehensive logging, metrics, tracing, and alerting using Filebeat, ELK stack, and similar tools.
• Guide team on code quality, design patterns, and documentation; participate in code reviews, design discussions, and cross-team decisions.
• Mentor junior/senior engineers and deliver technical deep-dive training sessions every 3-4 months.
• Solve “impossible” problems creatively, align with organizational goals, and foster a culture of innovation and technical leadership.

• 5 - 8 years of core software engineering experience, with a proven track record designing and deploying enterprise-grade applications.
• Expert Java backend skills: Advanced proficiency in Java 11+, Spring/Spring Boot ecosystem, and REST web service development.
• Exceptional problem-solving: Strong analytical skills to troubleshoot complex distributed systems in dynamic, high-stakes environments.
• Hands-on AI/GenAI experience: Building RAG (Retrieval-Augmented Generation), agentic workflows, and model integrations.
• Data mastery: Expertise in relational databases (MySQL, PostgreSQL)-schema design, query optimization, and performance tuning.
• Middleware & scaling: Practical work with messaging queues (RabbitMQ, Kafka), caching (Redis, Memcached), and high-concurrency systems.
• DevOps mindset: Strong understanding of CI/CD, Kubernetes, Docker, and monitoring (ELK, PrometheGrafana).
• UI exposure (good to have): AngularJS or modern Angular for frontend development.
• AdTech knowledge (preferred): Digital advertising, real-time bidding, or high-volume data processing., Should have a bachelor’s degree in engineering or an equivalent degree from a well-known institute/university.

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.