BCforward
Infra Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Infrastructure Engineer with 10+ years of experience, focusing on Terraform, CI/CD, GCP, and Azure. Contract length is unspecified, with a pay rate of $60.00 - $67.00 per hour. Remote work location; strong skills in cloud networking and data platforms required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
536
-
🗓️ - Date
February 17, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Remote
-
🧠 - Skills detailed
#Scripting #Grafana #Azure DevOps #Linux #ML (Machine Learning) #Kubernetes #Data Lake #Scala #Observability #Prometheus #Data Engineering #Synapse #Terraform #DevOps #Storage #Infrastructure as Code (IaC) #Security #Snowflake #Automation #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #ADLS (Azure Data Lake Storage) #Firewalls #Azure #Compliance #GCP (Google Cloud Platform) #Bash #IAM (Identity and Access Management) #Dataflow #Monitoring #VPC (Virtual Private Cloud) #Cloud #Python
Role description
Job Title: Infrastructure Engineer (Terraform, CI/CD, GCP & Azure, Data & AI Platforms)
Location: Remote
Experience: [10+] years
About the Role:
We are looking for an experienced Infrastructure Engineer to design, automate, and operate scalable cloud infrastructure supporting data platforms and AI/ML workloads across GCP and Azure. This role focuses on Infrastructure such as Code, CI/CD automation, cloud networking, and enabling reliable, secure environments for data engineering and analytics teams.
Key Responsibilities:
· Design, provision, and manage cloud infrastructure using Terraform
· Build and maintain CI/CD pipelines using Azure DevOps
· Provision and manage GCP infrastructure, including compute, storage, IAM, and networking
· Support and manage Azure infrastructure (VNets, networking, compute, storage)
· Design and implement network provisioning (VPC/VNet architecture, routing, firewalls, load balancers, private connectivity)
· Build and operate infrastructure for data platforms (data lakes, warehouses, streaming, analytics platforms)
· Provision and support AI/ML infrastructure, including GPU resources and AI platforms
· Implement security best practices, IAM, encryption, and compliance controls
· Optimize infrastructure for performance, reliability, and cost
· Collaborate with data engineering, analytics, and ML teams
· Document infrastructure, architecture, standards, and operational runbooks
Required Skills & Qualifications:
· Strong experience with Terraform (Infrastructure as Code)
· Experience with CI/CD pipelines, preferably Azure DevOps
· Strong hands-on experience with Google Cloud Platform (GCP)
· Solid understanding of cloud networking and network provisioning
· Experience supporting data platforms or large-scale data workloads
· Experience with AI/ML infrastructure
· Strong Linux and scripting skills (Bash, Python, etc.)
Preferred / Nice to Have:
· Hands-on experience with Azure infrastructure
· Experience with Kubernetes (GKE / AKS)
· Experience with data services such as Big Query, Dataflow, Dataproc, Synapse, ADLS, Snowflake
· Monitoring and observability tools (Prometheus, Grafana, Cloud Monitoring)
· Multi-cloud experience and relevant certifications
Why Join Us
· Work on modern data and AI platforms at scale
· Influence platform architecture and tooling decisions
· Collaborative, engineering-first culture
Pay: $60.00 - $67.00 per hour
Work Location: Remote
Job Title: Infrastructure Engineer (Terraform, CI/CD, GCP & Azure, Data & AI Platforms)
Location: Remote
Experience: [10+] years
About the Role:
We are looking for an experienced Infrastructure Engineer to design, automate, and operate scalable cloud infrastructure supporting data platforms and AI/ML workloads across GCP and Azure. This role focuses on Infrastructure such as Code, CI/CD automation, cloud networking, and enabling reliable, secure environments for data engineering and analytics teams.
Key Responsibilities:
· Design, provision, and manage cloud infrastructure using Terraform
· Build and maintain CI/CD pipelines using Azure DevOps
· Provision and manage GCP infrastructure, including compute, storage, IAM, and networking
· Support and manage Azure infrastructure (VNets, networking, compute, storage)
· Design and implement network provisioning (VPC/VNet architecture, routing, firewalls, load balancers, private connectivity)
· Build and operate infrastructure for data platforms (data lakes, warehouses, streaming, analytics platforms)
· Provision and support AI/ML infrastructure, including GPU resources and AI platforms
· Implement security best practices, IAM, encryption, and compliance controls
· Optimize infrastructure for performance, reliability, and cost
· Collaborate with data engineering, analytics, and ML teams
· Document infrastructure, architecture, standards, and operational runbooks
Required Skills & Qualifications:
· Strong experience with Terraform (Infrastructure as Code)
· Experience with CI/CD pipelines, preferably Azure DevOps
· Strong hands-on experience with Google Cloud Platform (GCP)
· Solid understanding of cloud networking and network provisioning
· Experience supporting data platforms or large-scale data workloads
· Experience with AI/ML infrastructure
· Strong Linux and scripting skills (Bash, Python, etc.)
Preferred / Nice to Have:
· Hands-on experience with Azure infrastructure
· Experience with Kubernetes (GKE / AKS)
· Experience with data services such as Big Query, Dataflow, Dataproc, Synapse, ADLS, Snowflake
· Monitoring and observability tools (Prometheus, Grafana, Cloud Monitoring)
· Multi-cloud experience and relevant certifications
Why Join Us
· Work on modern data and AI platforms at scale
· Influence platform architecture and tooling decisions
· Collaborative, engineering-first culture
Pay: $60.00 - $67.00 per hour
Work Location: Remote
