Staff Software Engineer, App Hub

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience testing, and launching software products.
  
• 3 years of experience with software design and architecture.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 8 years of experience with data structures/algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  
• Experience with Google infrastructure and building scalable distributed systems.
• Experience with the life-cycle of building products that increase developer productivity.
• Passion for developer tools.

App Hub aims to optimize the productivity of Google Cloud Platform application developers, application operators, and platform operators by streamlining application development, deployments, and DevOps, while abstracting cloud infrastructure primitives.

In this role, you will be responsible for the entire App Hub surface to present customers with a smooth, unified experience for app-centric manageability, observability, and governance. This includes the interfaces, performance monitoring for the application-centric view, policy and governance management, and several other evolving areas.You will develop the next-generation technologies that change how billions of users connect, explore, and interact with information. Our products need to handle information at massive scale and high reliability. You will bring fresh ideas from all relevant areas, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), and natural language processing (NLP) the list is constantly growing. You will be versatile, display strong leadership qualities, mentor junior engineers, and be enthusiastic about tackling new problems across the stack as we continue to push technology forward.

• Model resources intricately across Borg Infra, Cloud Networking, Big Query, Agents, and more, requiring nuanced understanding.
• Ingest data from multiple sources in various forms (real-time events, checkpoint files). This currently involves two parallel stacks for real-time processing and offline reconciliation at both the App Hub and CAIS ends.
• Architect a system for massive scale and high throughput.
• Enrich data with product mappings, MR mappings, and identities from various systems, utilizing robust real-time and offline reconciliation paths to ensure data integrity, freshness, and lossless handling.
• Design a system that is operationally sound, scalable, and resilient to handle failures gracefully.