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AI/ML Infrastructure Engineer

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Tech Mahindra

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Location:
Canada , Cambridge

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

115000.00 - 120000.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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.)
  • A Bachelor’s or Higher Degree is the minimum entry required for the position

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
What we offer:
  • medical, vision, dental, life, disability insurance
  • paid time off (including holidays, parental leave, and sick leave, as required by law)

Additional Information:

Job Posted:
March 12, 2026

Expiration:
May 31, 2026

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