ZipRecruiter

Log In

1

Gcp Engineer Jobs in Michigan (NOW HIRING)

Ford Motor Company

Senior Software Engineer

Allen Park, MI · On-site +1

$113K - $192K/yr

Advanced GCP & DevOps: GCP Certification (e.g., Professional Cloud Architect or DevOps Engineer); hands-on experience with Cloud Build, Tekton, multi-environment Terraform deployment, and multi-cloud ...

FastTek

Core Senior Engineer

Dearborn, MI

$112K - $148K/yr

Experience with GCP tools like BigQuery, CloudRun, PubSub will be a plus. * Experience with an ... GCP Data Engineer, GCP Professional Cloud Skills Required: * Python, GCP, Angular, AWS, Azure ...

previous pagenext page

Showing results 21-40

All JobsGcp Engineer JobsGcp Engineer Jobs in Michigan

Gcp Engineer information

See Michigan salary details

$33.1K

$101K

$166.9K

How much do gcp engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for gcp engineer in Michigan is $100,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $132,000.00 per year, depending on experience, location, and employer.

What is a GCP engineer?

A GCP Engineer is an IT professional who specializes in designing, implementing, and managing solutions using Google Cloud Platform (GCP) services. They are responsible for configuring cloud infrastructure, deploying applications, ensuring security, and optimizing performance within the GCP environment. GCP Engineers often work with services like Compute Engine, Kubernetes Engine, Cloud Storage, and BigQuery, helping organizations migrate to or maintain their cloud-based systems. Their expertise allows businesses to leverage the scalability and flexibility of Google's cloud offerings effectively.

What are the key skills and qualifications needed to thrive as a GCP engineer?

To thrive as a GCP Engineer, you need a solid background in cloud architecture, networking, and security, typically supported by a degree in computer science or a related field and relevant GCP certifications. Familiarity with tools such as Google Cloud Console, Cloud SDK, BigQuery, Kubernetes, and Terraform is essential. Strong problem-solving, collaboration, and communication skills help you translate technical requirements into scalable cloud solutions. These abilities are critical for designing, deploying, and maintaining robust cloud infrastructure that supports organizational goals and operational efficiency.

What are some common challenges GCP engineers face when migrating on-premises applications to Google Cloud Platform?

GCP Engineers often encounter challenges such as compatibility issues between legacy systems and cloud-native services, ensuring data integrity during migration, and managing downtime to minimize business disruption. Collaborating closely with application developers, security teams, and business stakeholders is essential to address these challenges effectively. Proper planning, thorough testing, and leveraging GCP’s migration tools can help streamline the process and ensure a smooth transition.

What is the difference between Gcp Engineer vs Cloud Solutions Architect?

AspectGcp EngineerCloud Solutions Architect
CertificationsGoogle Cloud Certified Professional Cloud EngineerGoogle Cloud Certified Professional Cloud Architect
Primary FocusImplementing, managing, and maintaining GCP infrastructure and servicesDesigning and planning cloud solutions to meet business needs
Work EnvironmentHands-on technical roles within cloud teamsStrategic roles involving architecture design and client interaction
Industry UsageCommon in organizations deploying GCP infrastructureUsed for designing scalable cloud solutions across industries

The Gcp Engineer focuses on deploying and managing Google Cloud Platform services, ensuring infrastructure runs smoothly. In contrast, the Cloud Solutions Architect designs comprehensive cloud solutions tailored to business requirements. While both roles require GCP certifications, their core responsibilities differ—one is more technical and operational, the other strategic and design-oriented.

Is GCP data engineer in demand?

GCP Data Engineers are in high demand due to the increasing adoption of Google Cloud Platform for data processing and analytics. Skills in cloud architecture, data pipelines, and certifications like Google Cloud Professional Data Engineer enhance job prospects in this field.

What are popular job titles related to Gcp Engineer jobs in Michigan?

For Gcp Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Gcp Engineer jobs in Michigan look for?

The top searched job categories for Gcp Engineer jobs in Michigan are:

Gcp Engineer jobs near you
Infographic showing various Gcp Engineer job openings in Michigan as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 5% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $100,987 per year, or $48.6 per hour.

Senior GCP Data Engineer With AI/LLM (W2 Position)

Megan soft Inc

Dearborn Heights, MI • On-site

$97K - $132K/yr

Other

Re-posted 21 days ago

Job description

Hi We have a job opportunity of a Role Senior GCP Data Engineer With AI/LLM with given job description on W2. Please forward updated profile to Koti@megansoft.com or +1  (248) 671-4750.

Role: Senior GCP Data Engineer With AI/LLM (W2 Position)

Location: Dearborn, MI (Hybrid)

Duration: 12+ Months

Experience: 10+ Years

Note : please dont share profiles who are not comfortable to Work On W2

JD:

Skills Required:

GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API

  • GCP – Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions. For example, designing and implementing a cloud-native application architecture using GKE (Google Kubernetes Engine) with Cloud SQL and Pub/Sub.
  • Big Data – Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery. For example, building ETL pipelines that process terabytes of daily event data and transform it for downstream analytics.
  • Data Warehousing – Experience designing and maintaining data warehouse solutions (e.g., BigQuery, Snowflake, Redshift). For example, modeling a star schema for a retail analytics platform that supports reporting on sales, inventory, and customer behavior.
  • Artificial Intelligence & Expert Systems – Experience developing or integrating AI/ML models and rule-based expert systems. For example, building a classification model using Vertex AI to predict customer churn, or implementing a rule engine that automates underwriting decisions.
  • API – Experience designing, building, and consuming RESTful or gRPC APIs. For example, developing a versioned REST API with OAuth 2.0 authentication that serves as the integration layer between a mobile application and backend microservices.

Skills Preferred:

Google Cloud Platform

  • Google Cloud Platform – Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML. For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse.

Experience Required:

Senior Engineer Exp: 10+ years Data Engineering  work experience

Experience Preferred:

  • Operational Excellence: Using Terraform, Git, and Airflow to ensure reproducible, secure, and cost-optimized cloud infrastructure.
  • Governance & Quality: Prioritizing data lineage, PII protection, and observability to maintain high trust in data assets.
  • Collaboration: Acting as a bridge between technical teams (Data Science, Security) and business stakeholders to deliver self-service analytics. Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
  • Proven experience in building and deploying RAG systems, including the use of **Vector Databases**.
  • Proficiency in Python programming.
  • Solid experience with SQL for data manipulation and querying.
  • Hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML.
  • Basic understanding and practical experience with Machine Learning model fine-tuning.
  • Familiarity with data engineering concepts and practices.
  • Expertise in prompt engineering techniques for interacting with LLMs.
  • Experience with the OpenAI SDK.
  • Experience developing robust APIs, preferably with **FastAPI**.
  • Proficiency with **version control systems (e.g., Git)**.
  • Experience with **containerization technologies (e.g., Docker)**.
Thanks & Regards
Azmeera koti
Megan Soft, Inc.
17177 N. Laurel Park Dr;
Suite #337, Livonia, MI - 48152.
Direct No: +1  (248) 671-4750
E Mail : Koti@megansoft.com
Website : www.megansoft.com
Linked In ID : www.linkedin.com/in/koti-azmeera-104253335