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Google Cloud Platform Cloud Integration Engineer

MACHINE LEARNING TECHNOLOGIES LLC

3.7
7 reviews
MACHINE LEARNING TECHNOLOGIES LLC
Job Type   /   Job Level
Contract   /   Others/Any
Job Location
Dallas, TX
Salary Range
USD 10,417 - USD 15,833 (Monthly)
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Job Description

Job Overview

  • Job ID:

J52249

  • Job Title:

Google Cloud Platform Cloud Integration Engineer

  • Location:

Dallas, TX

  • Duration:

24 Months + Extension

  • Hourly Rate:

Depending on Experience (DOE)

  • Work Authorization:

US Citizen, Green Card, OPT-EAD, CPT, H-1B,

H4-EAD, L2-EAD, GC-EAD

  • Client:

To Be Discussed Later

  • Employment Type:

W-2, 1099, C2C

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Job Details

Key Responsibilities

Implement UIL using Cloud Run and GKE hybrid deployment models for scalable, event-driven integration.

Implement event-driven workflows leveraging Pub/Sub, Cloud Functions, and containerized microservices.

Establish and enforce API standards, error-handling conventions, and integration patterns across distributed systems.

Implement and maintain observability pipelines with Cloud Logging, BigQuery, and Cloud Monitoring for auditability and performance analytics.

Build and optimize DR and cost-efficient architectures across multiple regions using Terraform and Cloud Deploy.

Continuously evaluate and improve system reliability, scalability, and performance.

Required Skills & Experience

7 10+ years in backend/integration development or cloud engineering.

Deep Expertise In Google Cloud Platform, Especially

  • Cloud Run, GKE, Pub/Sub, BigQuery, Cloud Logging, Cloud Storage, IAM, Secret Manager, Cloud Build/Deploy.

Strong background in distributed systems, API design, and message-driven architectures.

Proficiency in Python, Node.js, or Java.

Familiarity with warehouse and ERP integration patterns (e.g., order orchestration, ASN, inventory sync).

Apply Now

Equal Opportunity Employer

MACHINE LEARNING 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 LEARNING 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 LEARNING 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

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