Infrastructure Engineer

Job Title: Infrastructure Engineer (Terraform, CI/CD, GCP & Azure, Data & AI Platforms)

Location

[Remote / Hybrid / On-site ]

Experience

[10+] years

Job Type

[Contract]

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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.

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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

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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.)

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Preferred / Nice to Have

· Hands-on experience with Azure infrastructure

· Experience with Kubernetes (GKE / AKS)

· Experience with data services such as BigQuery, Dataflow, Dataproc, Synapse, ADLS, Snowflake

· Monitoring and observability tools (Prometheus, Grafana, Cloud Monitoring)

· Multi-cloud experience and relevant certifications

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Why Join Us

· Work on modern data and AI platforms at scale

· Influence platform architecture and tooling decisions

· Collaborative, engineering-first culture