About The Position

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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. Cloud Dataproc enables open source data analytics users (Apache Hadoop, Spark, Presto, Flink, etc.) to lift and modernize their workloads into the cloud. Dataproc is a fast, easy-to-use, fully managed cloud service for running Apache Spark, Apache Hadoop and dozens of other Operational Support Systems (OSS) softwares in a simpler, performant and cost-efficient way. The security team focuses on ensuring users can use our tools with minimal friction in the most secure way possible. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.

Requirements

  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience programming in one or more programming languages (e.g., Java, Kotlin, Go, C++), or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience with architecture and development of distributed systems.
  • Experience building infrastructure in Google Cloud or other Cloud providers.

Nice To Haves

  • Master's degree or PhD in Computer Science, or a related technical field.
  • Experience in developing Cloud or SaaS products.
  • Experience with data science tools such as Jupyter notebooks.
  • Experience with Google Cloud Platform (GCP) security (network security, service accounts, Identity and Access Management (IAM) policies, etc.).
  • Experience as a committer or contributing to open-source Apache projects (Hadoop, Spark, Yarn, Flink, etc.).

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.

Benefits

  • bonus
  • equity
  • benefits
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