Senior Software Engineer, Infrastructure, Core, Media Solutions

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Individual pay is determined by factors including job-related skills, experience, and relevant education or training., * Write and test product or system development code.

• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Lead efforts to modernize Google’s foundational media indexing architecture by designing a seamless, automated pipeline where signal owners can self-onboard with minimal friction.
• Collaborate closely across the stack with teams from data indexing, content ingestion, content understanding, storage, and serving, to identify the problems, align the agenda, and transform the indexing capabilities to support the growing indexing needs across Google.
• C++ is the primary implementation language, with Python and GSQL for data selection and analysis.

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture., * Master’s degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.