Senior Engineer, GDC, Lifecycle Management, Supply Chain Platform

MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.

* 5 years of experience with software development in Go, Python, C++ or Java.

* 3 years of experience testing, maintaining, or launching software products,

and 1 year of experience with software design and architecture.

* Experience architecting database solutions for high-availability

applications.

PREFERRED QUALIFICATIONS:

* Master's degree or PhD in Computer Science or related technical fields.

* 1 year of experience in a technical leadership role.

* Experience with containerization and Kubernetes (K8s) on cloud.

ABOUT THE JOB:

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.

Google Distributed Cloud (GDC) is a portfolio of fully managed hardware and

software that brings Google Cloud’s infrastructure directly to the edge and

customer data centers. Powered by Anthos, Google Distributed Cloud is designed

for high-performance local data processing and low-latency workloads. It

particularly addresses organizations with strict requirements regarding data

sovereignty, residency, and privacy.

In this role, you will

• design intelligent workflows that manage everything from
• AI-optimized hardware ordering to zero-touch deployments and turn-up processes
• across Google Distributed Cloud's global fleet (both Air-gapped and Connected).
• You will evolve traditional infrastructure management into a smart,
• self-managing platform powered by autonomous AI agents.
• Google Cloud accelerates every organization’s ability to digitally transform its
• business and industry. We deliver enterprise-grade solutions that leverage
• Google’s cutting-edge 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.Individual pay is determined by factors including job-related
• skills, experience, and relevant education or training.
• US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
• Learn more about benefits at Google
• [https://www.google.com/about/careers/applications/benefits/].
• RESPONSIBILITIES:
• * Gather requirements and document.
• * Design systems and de-risk.
• * Implement and test in Go and Python.
• * Deploy and monitor.
• * Engage cross-functionally with partner engineering teams like Supply Chain,
• New Product Introduction (NPI), Infrastructure, Operations, etc.