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.
About the jobOur 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.
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
Responsibilities - 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.
