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.
Join the Google Distributed Cloud (GDC) Connected Identity Verification Service (IDVS) team to build the software powering our next-generation self-supporting edge cloud. In this role, you will own the design and implementation of critical components within our rack designer validation suite. You will help design the rack design and elevations for different hardware platforms and use AI-integrated systems to ensure our production environments are resilient, self-healing, and high-performing.
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.
Responsibilities
- Contribute to and own the design and implementation of rack desinger, UI configuration, focusing on rack elevations, Bill of Materialss (BOMs), cables and devices.
- Drive our AIOps evolution by building data pipelines that ingest system telemetry to enable automated, data-driven decision-making.
- Participate in an on-call rotation, apply advanced debugging and systems knowledge to triage, root-cause, and programmatically resolve production issues.
- Partner with various Engineering teams to define, scope, and execute high-impact projects that improve global infrastructure reliability.
- Demonstrate a proactive approach to problem-solve, foster a collaborative team environment while mentoring peers through design and code reviews.
Qualifications
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 testing, maintaining, or launching software products.
- 1 year of experience with software design and architecture.
- Experience in software system architecture.
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.