Senior/Software Engineer

About the Role

PubMatic is seeking a hands-on Senior Software Engineer to join its AI platform team and help define the next generation of AI-driven advertising and content solutions. You will own the full lifecycle of high-impact features, from initial discovery and technical scoping through design, implementation, rigorous testing, and safe production deployment. In this role, you will translate complex product requirements into scalable, reliable, and secure software architectures while mentoring junior engineers and fostering cross-functional collaboration. You will work closely with product managers, data scientists, and infrastructure teams to ensure that the solutions you build align with business goals and technical best practices. You will contribute to the design and execution of the platform roadmap, making technical decisions that balance innovation with performance and maintainability. Your work will directly influence how PubMatic leverages cutting-edge AI to deliver intelligent, context-aware experiences at scale.

Key Facts

What You'll Do

• Architect and implement scalable software components that power AI-enhanced features across PubMatic's platform, ensuring high availability, resilience, and security.
• Lead the design and delivery of new product capabilities in collaboration with product managers, UX researchers, and data scientists, from initial requirements gathering through to release.
• Translate complex business problems into clean, modular, and testable software designs, and own the detailed technical specifications for your workstreams.
• Develop and maintain robust APIs and integration layers that enable seamless communication between internal services and external AI providers.
• Implement efficient data processing pipelines to support model training, inference, and monitoring, with a focus on performance, latency, and cost optimization.
• Write high-quality code, perform thorough code reviews, and ensure that all deliverables meet PubMatic's standards for quality, documentation, and operational excellence.
• Diagnose and resolve production issues, conducting postmortems and root cause analyses to drive continuous improvement of system reliability.
• Mentor and guide junior engineers through code reviews, pair programming, and technical discussions, helping to elevate the overall engineering bar.
• Collaborate with cross-functional stakeholders to prioritize work, manage technical debt, and align roadmap decisions with customer and business needs.
• Participate in on-call rotations to support critical services, ensuring timely response and resolution of incidents in production environments.
• Contribute to open-source initiatives and internal tooling where appropriate, promoting knowledge sharing and best practices across teams.
• Stay current with emerging technologies, industry trends, and best practices, and proactively suggest improvements to the engineering processes and technology stack.
• Work within agile frameworks such as Scrum or Kanban, delivering incremental value in short cycles and incorporating feedback from stakeholders.
• Ensure that all engineering activities comply with security, privacy, and regulatory requirements relevant to the products and markets served.

Requirements

• You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or you have equivalent practical experience.
• You have a strong foundation in core computer science concepts, including data structures, algorithms, operating systems, and distributed systems.
• You are proficient in at least one modern programming language such as Python, Java, or Go, and have demonstrated ability to write clean, maintainable, and efficient code.
• You have hands-on experience with cloud platforms and infrastructure, including at least one major public cloud provider and container orchestration tools such as Kubernetes.
• You have a solid understanding of software development best practices, including version control, CI/CD pipelines, automated testing, and monitoring.
• You have experience working with relational and non-relational databases, and you understand concepts such as normalization, indexing, and query optimization.
• You are comfortable working in fast-paced, dynamic environments and can manage multiple priorities while maintaining attention to detail.
• You communicate effectively with both technical and non-technical stakeholders, articulating trade-offs and making sound engineering decisions.

Nice to Have

• Prior experience with AI, machine learning, or large language models is highly valued.
• Familiarity with MLOps practices and tools for model deployment, monitoring, and governance.
• Experience with real-time data streaming and event-driven architectures.
• Knowledge of compliance and data governance frameworks relevant to advertising and publishing technologies.

Practical Notes

This role is based in Pune, India, and requires relocation to the specified location. The engagement is full-time, and candidates must be available to join at the earliest opportunity. Only candidates who meet the stated requirements will be contacted for the next steps.