Senior Software Engineer, Infrastructure, Google Cloud

About the role

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Responsibilities

• Learn more about benefits at Google.
• Collaborate with product managers, data scientists, Site Reliability Engineer (SREs), and other engineering teams to understand requirements and deliver impactful solutions.
• Design and build pipelines to collect signals such as machine/Virtual Machine (VM) usage/reservation, etc.
• Analyze complex system interactions and data flows to ensure data quality, accuracy, and timeliness.
• Lead the technical design and implementation of new features and system improvements.
• Troubleshoot and resolve issues in complex distributed systems.

Requirements

• Minimum qualifications: Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience in one or more general-purpose programming languages, such as C++, Java, Go, or Python.
• Experience with SQL and data analysis.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• Experience with Google's infrastructure and data technologies (e.g., Flume, Compute infrastructure, Colossus, Spanner, Plx, IDX).
• Familiarity with Google Compute Engine (GCE) architecture and components.
• Proficiency in one batch data processing framework (Apache Spark, Apache Beam, Flume).

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits