Senior Cloud Engineer
Collabera Technologies
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Days Left: 18 days, 3 hours left Apply Senior Cloud Infrastructure & AI Platform Engineer Location: Concord, CA / Charlotte, NC / Chandler, AZ / Minneapolis, MN / Irving (Las Colinas), TX
Duration: Long-Term Contract
Payrate: $70-80/hr Job Summary We are seeking a Senior Cloud Infrastructure & AI Platform Engineer to lead enterprise cloud engineering initiatives focused on automation, Infrastructure as Code (IaC), AI-enabled cloud services, and scalable Kubernetes-based platform solutions across GoogleCloudPlatform(GCP) and MS Azure environments. This role requires deep hands-on experience in cloud infrastructure engineering, Terraform automation, container orchestration, and modern AI/ML cloud services. The ideal candidate will work closely with engineering teams, product teams, and cloud vendors to design, deploy, optimize, and support enterprise-scale cloud platforms.
Key Responsibilities
- Lead large-scale cloud engineering and infrastructure modernization initiatives across Azure and GCP
- Design, automate, and provision cloud infrastructure using Infrastructure as Code (IaC) methodologies
- Develop reusable Terraform modules and GitHub-based CI/CD deployment workflows
- Build and support scalable Kubernetes/container-based cloud platforms
- Engineer and optimize enterprise cloud solutions for performance, reliability, security, and scalability
- Collaborate with product teams and cloud vendors to deploy innovative cloud-native services
- Implement cloud governance, monitoring, logging, and operational best practices
- Support AI/ML cloud enablement initiatives using Azure AI and GCP AI service offerings
- Troubleshoot and resolve complex cloud platform and infrastructure issues
- Document architecture, operational procedures, and engineering standards
- Drive adoption of DevOps, SRE, and automation best practices across teams
- Work within a globally distributed engineering organization supporting enterprise cloud platforms
- 5+ years of Software Engineering or Cloud Infrastructure Engineering experience
- 3+ years of hands-on experience with:
- GCP and/or MS Azure
- Infrastructure as Code (IaC)
- Enterprise cloud platform deployments
- 2+ years of hands-on Terraform experience
- Strong experience with GitHub and CI/CD automation pipelines
- Experience provisioning and managing Kubernetes-based infrastructure platforms
- Strong understanding of cloud networking concepts including:
- VNETs
- DNS
- Load Balancers
- Firewalls
- RBAC/IAM
- Security Guardrails
- Experience with scripting and automation using Python and/or Shell scripting
- Experience with at least three of the following AI/ML cloud technologies:
- Azure AI Foundry
- Azure Machine Learning
- Azure AI Search
- Document Intelligence
- Vertex AI
- Document AI
- LLM platforms
- Agentic AI frameworks
- Cloud certifications in Azure and/or GCP
- Experience with Agile, DevOps, CI/CD, and Site Reliability Engineering (SRE) principles
- Experience building large-scale AKS or GKE environments
- Exposure to cloud governance, observability, logging, and monitoring platforms
- Familiarity with:
- LangChain
- MCP
- ADK
- A2A frameworks
- Agent Engine
- NotebookLM
- Agentspace
- Understanding of cloud security, authentication methods, and data protection strategies
- Experience supporting enterprise landing zones and cloud blueprint implementations
- Excellent communication and stakeholder management skills
- Ability to explain complex technical solutions to both technical and business audiences
- Infrastructure as Code
- Terraform
- Recruiter
- Phone
- Shoeb Khan
- View email address on click.appcast.io
- View phone number on click.appcast.io
Vacancy posted more than 2 months ago
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