Senior Engineer, Distributed Cloud Lifecycle & Supply Chain

Google; Seattle (WA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health, dental, vision, life, and long

Disability insurance

401(k) with company match

Paid time off and holidays

Sick time and parental leave

Holidays and equity

Job summary

Google Cloud is hiring software engineers to design, build, and deploy next‑generation cloud infrastructure and intelligent workflows. You will work on projects critical to Google Cloud's needs, with opportunities to switch teams as the business grows.

You will enable customers with scalable, secure, and high‑performing systems while acting with ownership and accountability. Role involves building distributed services, AI-enabled automation, and edge deployments across Google Distributed Cloud,

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.

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.

Skills

Go

Python

C++/Java

Education

Bachelor's degree or equivalent practical experience

Tools

Kubernetes

Job description

Google Cloud is hiring software engineers to design, build, and deploy next‑generation cloud infrastructure and intelligent workflows. You will work on projects critical to Google Cloud's needs, with opportunities to switch teams as the business grows.

You will enable customers with scalable, secure, and high‑performing systems while acting with ownership and accountability. Role involves building distributed services, AI-enabled automation, and edge deployments across Google Distributed Cloud,