Cloud Services, Machine Learning Frameworks, Infrastructure as Code, CI CD Pipelines

Apis, Distributed Systems, Authentication, production reliability, AI-powered applications, automated regression testing, deterministic validation, software engineering fundamentals, evaluation sets, role-based access control, model gateways, Authorization, on-device inference, AI ML infrastructure, MCP or similar protocols, observability, AI orchestration

.NET, Terraform, Sql, Databricks, Java, Tensorflow, Rust, React, MLops, Angular, Pytorch, Nosql, Nodejs, Bdd, Selenium, Cucumber, Python, Kubernetes, Docker, Gherkin, LLMOps, OpenTelemetry, LangFuse, LangChain, LangGraph, Playwright, LangSmith

Cloud deployment, Apis, Oauth2, Debugging, Data Structures, Integrations, Sso, React, Git, Algorithms, Typescript, Linux, Docker, Testing, Python, Logging, Asynchronous Systems, rbac, MCP, Performance Analysis, OIDC, Monitoring

Terraform, Docker, App Services, Kubernetes, Python, VMSS, App Insights, API Gateways, Log Analytics, CI CD, OpenTelemetry, Azure Foundry, Azure AI services, Azure AI Search, Azure networking

triton , Cuda, Tensorflow, Pytorch, Terraform, Ansible, Kubernetes, Python, NVIDIA Enterprise Suite, MLflow, GPU drivers, Run ai, Jupyter Notebooks, NeMo Framework, Kubeflow

MLops, Terraform, Python, LangChain, LLMOps, Anthropic APIs, LlamaIndex, API gateways, Observability tools, Go or Java

Git, Data Integration, Rest Apis, Sql, Python, DevOps practices, CI CD pipelines, Cloud-native distributed systems

Databases, metrics, Cloud Infrastructure, Python, Traces, Logs, Alerting, Message Queues