Google Cloud Platform Cloud Architect/ GKE Tech Lead

Machine Intelligence Technologies, LLC; Bellevue, Northern (WA, KY); Hybrid; USD 124,000 - 207,000; Full time

Job summary

Machine Intelligence Technologies LLC in Bellevue, WA seeks an experienced Google Cloud Platform Cloud Architect to design, implement, and optimize scalable, secure, and cost-efficient cloud solutions.

This 24-month contract role is onsite, with responsibilities to lead migration, IaC, CI/CD, and collaborate with engineers while mentoring teams on GCP best practices.

Qualifications

• Strong hands-on Google Cloud experience, cloud networking, and microservices design.
• Expertise in cloud migration and architecture planning.
• Google Cloud certification and DevOps/CI-CD knowledge preferred.

Responsibilities

• Architect and deploy Google Cloud Platform solutions using Compute Engine, GKE, BigQuery, Cloud SQL, Pub/Sub.
• Lead cloud migration, IaC (Terraform/Deployment Manager), and CI/CD integration.
• Ensure security, compliance, performance optimization, and cost efficiency.
• Collaborate with cross-functional teams and mentor engineers on GCP best practices.

Skills

Cloud architecture design

Cloud networking & microservices

GCP certification & DevOps/CI-CD

Tools

Terraform

Deployment Manager

Job description

Google Cloud Platform Cloud Architect/ GKE Tech Lead

Location: Bellevue, WA

Duration: 24Months+ Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: Role: G Google Cloud Platform Cloud Architect/ GKE Tech Lead
Location: Bellevue, WA - Onsite
Contract

Summary: Seeking an experienced Google Cloud Platform Cloud Architect to design, implement, and optimize scalable, secure, and cost-effective solutions on Google Cloud Platform .

Key Responsibilities:

• Architect and deploy Google Cloud Platform solutions using Compute Engine, GKE, BigQuery, Cloud SQL, Pub/Sub , etc.
• Lead cloud migration , IaC (Terraform/Deployment Manager) , and CI/CD integration.
• Ensure security, compliance, performance optimization , and cost efficiency .
• Collaborate with cross-functional teams and mentor engineers on Google Cloud Platform best practices.

Qualifications:

• Strong hands-on Google Cloud Platform experience, cloud networking , and microservices design .
• Expertise in cloud migration and architecture planning .
• Google Cloud Platform certification and DevOps/CI-CD knowledge preferred.

MACHINE INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE INTELLIGENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE INTELLIGENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract