Developer- DevOps with GEN AI

Role & responsibilities Azure DevOps: 3+ years building and managing pipelines, release gates, and service connections. • Python Ecosystem: Strong scripting for custom pipeline tasks; familiarity with FastAPI, Celery & Redis for async workflows. • Gen AI / LangChain: Working knowledge of orchestrating large language models (LLMs) in production. • Infrastructure as Code: Hands-on with Terraform or ARM/Bicep to provision Azure resources. • Containerization & Orchestration: Docker, Kubernetes (AKS), Helm charts. • Databases: Deployment and management of PostgreSQL in Azure (Azure Database for PostgreSQL). • Frontend Delivery: Familiarity with building, packaging, and deploying Angular applications (including responsive UI considerations). • Identity & Access: Azure Entra ID (Azure AD) integration for service-to-service and user authentication. • Monitoring & Logging: Define metrics and alerts in Azure Monitor / Application Insights. ________________________________________ Nice-to-Have • Experience with SQLAlchemy for database migrations and ORM in pipelines. • Familiarity with LangChains callback handlers and custom agent deployments. • Knowledge of advanced Celery features (chords, retry policies, rate limiting). • Exposure to client-side performance monitoring (Lighthouse, Webpack optimizations). • Scripting with PowerShell or Azure CLI for ad-hoc automation. • Azure DevOps Engineer Expert (AZ-400) or equivalent hands-on certification. ________________________________________ Personal Attributes • Strong communicator who can bridge DevOps, development, and data science teams. • Proactive problem-solver, comfortable in high-velocity Agile environments. • Attention to detail " Mandatory Skills "Required Skills & Experience • Azure DevOps: 3+ years building and managing pipelines, release gates, and service connections. • Python Ecosystem: Strong scripting for custom pipeline tasks; familiarity with FastAPI, Celery & Redis for async workflows. • Gen AI / LangChain: Working knowledge of orchestrating large language models (LLMs) in production. • Infrastructure as Code: Hands-on with Terraform or ARM/Bicep to provision Azure resources. • Containerization & Orchestration: Docker, Kubernetes (AKS), Helm charts. • Databases: Deployment and management of PostgreSQL in Azure (Azure Database for PostgreSQL). • Frontend Delivery: Familiarity with building, packaging, and deploying Angular applications (including responsive UI considerations). • Identity & Access: Azure Entra ID (Azure AD) integration for service-to-service and user authentication. • Monitoring & Logging: Define metrics and alerts in Azure Monitor / Application Insights." Nice to have skills "Nice-to-Have • Experience with SQLAlchemy for database migrations and ORM in pipelines. • Familiarity with LangChain’s callback handlers and custom agent deployments. • Knowledge of advanced Celery features (chords, retry policies, rate limiting). • Exposure to client-side performance monitoring (Lighthouse, Webpack optimizations). • Scripting with PowerShell or Azure CLI for ad-hoc automation. • Azure DevOps Engineer Expert (AZ-400) or equivalent hands-on certification. Preferred candidate profile