Staff Software Engineering, Google Distributed Cloud Hosted

Google Google · Big Tech · Bengaluru, Karnataka, India

Staff Software Engineer for Google Distributed Cloud Hosted (GDCag), focusing on building a scalable platform for air-gapped environments. The role involves defining and implementing Agentic AI opportunities for fault remediation, influencing security architecture, and collaborating with various teams to deliver the GDCag software stack. Requires extensive experience in software development, large-scale infrastructure, distributed systems, and cloud environments, with a focus on security and operational efficiency.

What you'd actually do

  1. Build a scalable platform that supports key business deliverables for Google Distributed Cloud - Airgapped.
  2. Influence and shape the security architecture and roadmap of Google Distributed Cloud - Airgapped in live threat detection, vulnerabilities detection, and remediation.
  3. Collaborate with Google Distributed Cloud - Airgapped Product Management, Principals, and Architecture to solve broad, impactful problems to raise the bar for quality, robustness, operability, and velocity.
  4. Define Agentic Artificial Intelligence opportunities in Google Distributed Cloud - Airgapped in the space of fault remediation and architect, design, and land solutions.
  5. Drive alignment of Google Distributed Cloud - Airgapped security components with Google Cloud Platform security architecture.

Skills

Required

  • software development
  • large-scale infrastructure
  • distributed systems
  • networks
  • compute technologies
  • storage
  • hardware architecture
  • architecting and designing distributed systems
  • public cloud environment
  • Kubernetes
  • public cloud infrastructure
  • cloud security
  • backend systems

Nice to have

  • software development building large-scale platforms
  • contributing to open source projects
  • working with open source community
  • cloud architectures
  • public and private cloud based systems
  • navigating open-ended technical challenges
  • making proper trade-offs

What the JD emphasized

  • 8 years of experience in software development
  • 5 years of experience building and developing large - scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture
  • Experience in architecting and designing a distributed system in a public cloud environment (e.g., Google Cloud Platform)
  • Experience working with Kubernetes, public cloud infrastructure, and cloud security

Other signals

  • Define Agentic Artificial Intelligence opportunities
  • architect, design, and land solutions
  • Build a scalable platform that supports key business deliverables