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Azure Cloud Engineer AI
4 weeks ago
Themesoft Inc. is a global IT solutions provider and a Woman‑Owned Minority Business Enterprise headquartered in Dallas, TX. With a strong presence across the US, Canada, India, Singapore, and Brazil, we specialize in digital transformation, consulting, and workforce solutions across diverse industries. We are currently looking for a tech-savvy and results-driven professional for one of our leading clients. If you’re passionate about technology and looking to grow in a dynamic, fast-paced environment, this could be the perfect fit for you Role : Azure Cloud Engineer AI Location : Toronto, Canada- Hybrid (3 days to office) 6+ months Cloud Engineer – AI Infrastructure Role Overview As a Cloud Engineer, you will be responsible for implementing and maintaining scalable, secure, and high-performance cloud infrastructure to support AI/ML workloads. You’ll work closely with platform, application, and data teams to ensure reliable operations and efficient delivery of AI services. Key Responsibilities Infrastructure & Platform Operations Deploy and manage cloud-native infrastructure for AI/ML workloads (GPU/CPU clusters, autoscaling, spot instances). Configure and maintain networking components (Azure VNet, Private Link, peering, HA/DR setups). Operate storage and database systems including Azure Data Lake Storage, relational databases, and vector databases (FAISS, Milvus, Pinecone). Implement IAM policies, secrets management (Key Vault), and encryption standards. Observability & Reliability Set up monitoring for latency, throughput, GPU utilization, and cost metrics. Integrate logging and tracing tools (OpenTelemetry) and maintain SLOs/SLIs for infrastructure services. Support incident response and root cause analysis using SRE principles. CI/CD & Infrastructure Automation Build and maintain CI/CD pipelines using GitHub Actions or Azure DevOps. Implement GitOps workflows for infrastructure-as-code using Terraform or Bicep. Create reusable IaC modules and templates for consistent deployments. FinOps & Cost Optimization Monitor and optimize GPU usage, caching strategies, and inference performance. Support cost governance and reporting for AI infrastructure. Application Enablement Provide infrastructure support for APIs, microservices, and event-driven architectures. Enable model serving runtimes (TensorRT-LLM, vLLM, Triton/KServe). Support RAG pipelines including embeddings, chunking, and retrieval systems. Security & Compliance Apply defense-in-depth strategies: IAM least privilege, private networking, image signing. Ensure compliance with data residency, encryption, and audit requirements. Qualifications Bachelor’s degree in Computer Science, Engineering, or related field. 3–5 years of experience in cloud infrastructure (Azure preferred). Hands-on experience with Kubernetes, Terraform/Bicep, and cloud networking. Familiarity with AI/ML infrastructure components and model serving. Proficiency in Python for automation; Go or TypeScript is a plus. Tech Stack Cloud & Infra : Azure (AKS, Functions, Event Hubs, Key Vault), Terraform/Bicep, GitHub Actions AI Infra : Kubernetes, KServe/Triton, vLLM, TensorRT-LLM Ops : Prometheus, Grafana, OpenTelemetry, ArgoCD Data : Feature stores (Feast), vector DBs (FAISS, Milvus), relational DBs App Layer : APIs, microservices, frontend/backend integration Success Metrics Reliability : SLOs met, uptime maintained Security : No critical vulnerabilities, audit-ready infrastructure Cost Efficiency : Optimized GPU and infra spend Velocity : Fast and reliable deployments Collaboration : Effective cross-team support and documentation Regards, _______________________ Parthasarathy K Lead Recruiter Work: Ext: 306,Direct: Themesoft Inc |Themesoft Jobs
