Senior Software Engineer, Infrastructure, Managed Spark Platform and Foundations

Write and test product or system development code.Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.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.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 with distributed computing, data analytics, and API design.Preferred qualifications:Master's degree or PhD in Computer Science, or a related technical field.Experience with Open Telemetry, JMX and other monitoring solutions.Experience with databases and building distributed systems.Experience developing Cloud or SaaS products.Expertise of OSS projects (Spark, Ray, etc.).Ability to commit or contribute to Apache projects.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.Our team develops Google Cloud’s managed service for Apache Spark and the open-source data ecosystem (including Flink, Presto). We focus on building a platform that allows enterprises to run large-scale data processing workloads with high performance and minimal operational overhead.As an Engineer on this team, you will work at the intersection of open-source software and Google’s core infrastructure. Our mission is to solve the complex challenges of distributed systems such as autoscaling, resource optimization, and cross-service integration so our customers don't have to. You’ll be responsible for building and maintaining a reliable, cost-efficient environment that powers everything from standard ETL pipelines to advanced machine learning workloads. We value technical depth, a focus on system stability, and a commitment to making open-source tools work seamlessly at scale.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.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 with distributed computing, data analytics, and API design.