unstructured data , operational support , Databases, Data Services, Apis, Testing, Sql, Data Quality, Python, versioning, data pipelines, cloud-based environments, structured data, access controls, metadata provenance

Github, PowerShell, Bash, Terraform, Azure DevOps, Entra ID, Tagging strategies, Log Analytics, CI/CD pipelines, rbac, Azure Policy, Management groups, Azure Monitor, Azure core services

Jax, Cloud Infrastructure, Pytorch, Distributed Systems, Python, TensorRT-LLM, GPU infrastructure, Vector databases, SGLang, vLLM, Workflow orchestration, ML data pipelines, Performance tooling, Retrieval infrastructure

Problem Management, Incident Management, Google Cloud, Sql, Vulnerability Management, Itil Processes, Data Analysis, Operational metrics and logs, Root-cause analysis, IT risk and security concepts, Monitoring and observability technologies, Security protocols and certificates

routing, Devops, Lambda, DevSecOps, Cloudformation, Dns, Load Balancing, AWS, Security, infrastructure hardening, VPC networking

triton , Databases, Version Control, Logging, Networking, Automated Testing, Video Streaming, Azure, Kubernetes, Python, Linux containers, GPU workloads, ML inference, TensorRT, CI CD, Monitoring, ONNX

PostgreSQL, Redis, Databases, Linux, Docker, Python, RAG systems, Data matching, Vector databases, Data Processing, Infrastructure as code, Embeddings, Search, Data ingestion pipelines, Observability, Backend services

Cloud service delivery models (SaaS, IaaS), Auto Scaling Groups (ASG), Amazon Machine Images (AMI), Infrastructure as Code (IaC), Amazon Web Services (AWS), Paas, DevSecOps, Terraform, AWS CloudFormation, CI/CD tools and pipelines, Cloud cost optimization and governance