Pinterest is seeking a Staff Software Engineer to enhance the serving platforms that support Ads and Core experiences. The role involves leading large-scale, low-latency distributed-system initiatives to improve performance, reliability, and observability. The engineer will work closely with various teams to define platform capabilities and modernize frameworks. This position emphasizes collaboration, innovation, and the application of AI to enhance engineering workflows.

• 8+ years of software engineering experience building and operating production backend or distributed systems.
• Experience leading complex technical initiatives across teams or organizations.
• Strong expertise in distributed systems, online serving, low-latency services, or infrastructure platforms.
• Demonstrated ability to make sound tradeoffs across latency, reliability, scalability, cost, and developer experience.
• Strong communication and collaboration skills with technical and cross-functional partners.
• Proficiency in one or more programming languages such as Java, C++, Go, or Python.
• Experience mentoring engineers and elevating technical standards.
• Demonstrated ability to use AI to improve the speed and quality of day-to-day engineering workflows.
• Bachelor’s degree in Computer Science, a related technical field, or equivalent experience.

• Set technical direction and lead architecture for major serving-platform initiatives across Ads and Core.
• Build and operate scalable, highly available systems with clear performance, reliability, and efficiency goals.
• Partner with product, ML, infrastructure, and Core/Ads engineering teams to translate complex requirements into reusable platform capabilities.
• Improve the serving stack through framework modernization, API evolution, experimentation controls, observability, and debugging tools.
• Lead complex projects end to end: technical strategy, design, implementation, rollout, adoption, and operational readiness.
• Use AI to accelerate analysis, debugging, design exploration, and iteration while applying sound engineering judgment and validation.
• Raise the quality bar through design reviews, code reviews, documentation, and operational excellence.
• Mentor engineers and scale technical leadership across the organization.