Senior Engineer, GDC, Lifecycle Management, Supply Chain Platform

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

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Sunnyvale, CA, USA; Seattle, WA, USA.

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

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.