Google Cloud Platform Cloud Integration Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 138,000 - 193,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX seeks a Google Cloud Platform Cloud Integration Engineer to lead scalable, event-driven integrations.

You will work across Cloud Run, GKE, Pub/Sub, and BigQuery, implementing observability and cost-efficient architectures, with a strong focus on API standards and distributed systems.

Qualifications

• 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).

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.

Skills

Cloud Run

GKE

Pub/Sub

BigQuery

Cloud Logging

Cloud Storage

IAM

Secret Manager

Cloud Build/Deploy

Python

Node.js

Java

Distributed systems

API design

Message-driven architectures

Terraform

Cloud Deploy

Tools

Terraform

Cloud Deploy

Job description

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

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).

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