

EPITEC
Cloud Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Engineer based in Dearborn, MI, with a contract length of unspecified duration and a pay rate up to $74.42/hour. Key skills include AWS, Kubernetes, and Terraform. Requires 6+ years in IT, a Bachelor's degree, and expertise in cloud security and compliance.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
592
-
ποΈ - Date
October 1, 2025
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Dearborn, MI
-
π§ - Skills detailed
#Disaster Recovery #Observability #Python #RDS (Amazon Relational Database Service) #Monitoring #Scala #Security #Cloud #Automation #Argo #Grafana #CLI (Command-Line Interface) #Compliance #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #IAM (Identity and Access Management) #Programming #Storage #Terraform #Kubernetes #Deployment #GCP (Google Cloud Platform) #Infrastructure as Code (IaC) #Prometheus #Strategy
Role description
Cloud Infrastructure Engineer
Location: Dearborn, MI 48120
Schedule: Hybrid, 4 days onsite
Pay Rate: Up to $74.42/hour, depending on experience and chosen benefits
Position Summary:
Our Tier 1 Automotive client is seeking a highly skilled Cloud Infrastructure Engineer to design, build, and deploy scalable, secure, and cost-efficient cloud-based infrastructure and managed services. This role focuses on creating opinionated cloud environments and foundational services such as Infrastructure-as-a-Service (IaaS), Storage-as-a-Service, and other reusable building blocks that empower enterprise and product teams.
Key Responsibilities:
1. Cloud Architecture & Deployment: Design and implement cloud platforms aligned with enterprise architecture and security standards to meet critical business needs.
1. Cross-Functional Collaboration: Partner with architects, security teams, and product owners to deliver infrastructure solutions that ensure scalability, availability, and performance.
1. Capacity Planning & Monitoring: Monitor system usage and forecast future needs to ensure optimal resource scaling.
1. Automation & Infrastructure as Code (IaC): Develop automation scripts and IaC templates for provisioning complex cloud resources including identity services, VPCs, Kubernetes clusters, and data stores.
1. Security & Compliance Integration: Embed enterprise security and disaster recovery policies into infrastructure configurations to ensure compliance with industry regulations.
1. Cloud Storage Optimization: Design and manage cloud-based storage solutions with a focus on availability, security, and cost-efficiency.
1. Strategic Execution: Support technology strategy and engineering roadmaps, optimizing cloud spend and ensuring high availability across regions.
1. Cloud Modernization: Evaluate emerging technologies and assist in migrating legacy systems to modern cloud platforms.
Required Skills:
β’ AWS Expertise: Proficient in deploying and managing AWS infrastructure using Terraform, including VPCs, IAM, S3, RDS, ALBs/NLBs, and remote state management.
β’ Kubernetes Administration: Hands-on experience provisioning and managing Kubernetes clusters (EKS, GKE, AKS, or self-managed), including networking, storage, monitoring, and upgrades.
Preferred Skills:
Google Cloud Platform (GCP)
β’ Experience with GCP resource provisioning using Terraform, Deployment Manager, or gcloud CLI.
Python Development
β’ Skilled in writing production-grade automation tools, cost/reporting jobs, compliance checks, and internal services using Python.
CI/CD & GitOps
β’ Experience with tools like Argo CD, Tekton, or Concourse for building and managing pipelines.
Cloud Security
β’ Deep understanding of IAM, PKI, secret management, and automated compliance.
Observability & SRE
β’ Familiarity with Prometheus, Grafana, OpenTelemetry, and applying SRE principles for reliability.
Developer Tooling
β’ Experience building internal tools and automation in Python or Go to enhance developer workflows.
Experience Required:
β’ 6+ years in IT with 4+ years in development
β’ Practical experience in two programming languages or advanced proficiency in one
Education:
β’ Required: Bachelorβs Degree
β’ Preferred: Advanced degree or certifications in cloud technologies
Specialization Areas (Must have deep expertise in 1 or more):
β’ AWS Networking & Managed Services
β’ Kubernetes Cluster Management
β’ CI/CD Pipeline Design
β’ Cloud Security & Compliance
β’ Observability & SRE Practices
β’ Developer Tooling & Automation
Cloud Infrastructure Engineer
Location: Dearborn, MI 48120
Schedule: Hybrid, 4 days onsite
Pay Rate: Up to $74.42/hour, depending on experience and chosen benefits
Position Summary:
Our Tier 1 Automotive client is seeking a highly skilled Cloud Infrastructure Engineer to design, build, and deploy scalable, secure, and cost-efficient cloud-based infrastructure and managed services. This role focuses on creating opinionated cloud environments and foundational services such as Infrastructure-as-a-Service (IaaS), Storage-as-a-Service, and other reusable building blocks that empower enterprise and product teams.
Key Responsibilities:
1. Cloud Architecture & Deployment: Design and implement cloud platforms aligned with enterprise architecture and security standards to meet critical business needs.
1. Cross-Functional Collaboration: Partner with architects, security teams, and product owners to deliver infrastructure solutions that ensure scalability, availability, and performance.
1. Capacity Planning & Monitoring: Monitor system usage and forecast future needs to ensure optimal resource scaling.
1. Automation & Infrastructure as Code (IaC): Develop automation scripts and IaC templates for provisioning complex cloud resources including identity services, VPCs, Kubernetes clusters, and data stores.
1. Security & Compliance Integration: Embed enterprise security and disaster recovery policies into infrastructure configurations to ensure compliance with industry regulations.
1. Cloud Storage Optimization: Design and manage cloud-based storage solutions with a focus on availability, security, and cost-efficiency.
1. Strategic Execution: Support technology strategy and engineering roadmaps, optimizing cloud spend and ensuring high availability across regions.
1. Cloud Modernization: Evaluate emerging technologies and assist in migrating legacy systems to modern cloud platforms.
Required Skills:
β’ AWS Expertise: Proficient in deploying and managing AWS infrastructure using Terraform, including VPCs, IAM, S3, RDS, ALBs/NLBs, and remote state management.
β’ Kubernetes Administration: Hands-on experience provisioning and managing Kubernetes clusters (EKS, GKE, AKS, or self-managed), including networking, storage, monitoring, and upgrades.
Preferred Skills:
Google Cloud Platform (GCP)
β’ Experience with GCP resource provisioning using Terraform, Deployment Manager, or gcloud CLI.
Python Development
β’ Skilled in writing production-grade automation tools, cost/reporting jobs, compliance checks, and internal services using Python.
CI/CD & GitOps
β’ Experience with tools like Argo CD, Tekton, or Concourse for building and managing pipelines.
Cloud Security
β’ Deep understanding of IAM, PKI, secret management, and automated compliance.
Observability & SRE
β’ Familiarity with Prometheus, Grafana, OpenTelemetry, and applying SRE principles for reliability.
Developer Tooling
β’ Experience building internal tools and automation in Python or Go to enhance developer workflows.
Experience Required:
β’ 6+ years in IT with 4+ years in development
β’ Practical experience in two programming languages or advanced proficiency in one
Education:
β’ Required: Bachelorβs Degree
β’ Preferred: Advanced degree or certifications in cloud technologies
Specialization Areas (Must have deep expertise in 1 or more):
β’ AWS Networking & Managed Services
β’ Kubernetes Cluster Management
β’ CI/CD Pipeline Design
β’ Cloud Security & Compliance
β’ Observability & SRE Practices
β’ Developer Tooling & Automation