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

Infrastructure EngineerWe 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 TerraformBuild and maintain CI/CD pipelines using Azure DevOpsProvision and manage GCP infrastructure, including compute, storage, IAM, and networkingSupport 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 platformsImplement security best practices, IAM, encryption, and compliance controlsOptimize infrastructure for performance, reliability, and costCollaborate with data engineering, analytics, and ML teamsDocument infrastructure, architecture, standards, and operational runbooksRequired Skills Qualifications:Strong experience with Terraform (Infrastructure as Code)Experience with CI/CD pipelines, preferably Azure DevOpsStrong hands-on experience with Google Cloud Platform (GCP)Solid understanding of cloud networking and network provisioningExperience supporting data platforms or large-scale data workloadsExperience with AI/ML infrastructureStrong Linux and scripting skills (Bash, Python, etc.)Preferred / Nice to Have:Hands-on experience with Azure infrastructureExperience with Kubernetes (GKE / AKS)Experience with data services such as BigQuery, Dataflow, Dataproc, Synapse, ADLS, SnowflakeMonitoring and observability tools (Prometheus, Grafana, Cloud Monitoring)Multi-cloud experience and relevant certificationsWhy Join Us:Work on modern data and AI platforms at scale. Influence platform architecture and tooling decisions.

Collaborative, engineering-first culture.“**” is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability.

All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator.