Infra Tech Support Practitioner

Support the lead developer on hands-on development, and guide a cross-functional team of engineers across frontend, backend, data, and AI workstreams.

Make critical design decisions on integration patterns, API contracts, and AI model orchestration

Lead the integration of Azure AI Foundry and Azure AI Services including LLM orchestration, RAG pipelines, and agentic workflows

Design and implement serverless architecture using Azure Functions and Azure API Management

Own the data layer — schema design, query optimization, and database performance

Oversee and contribute to full-stack development across React, Python, FastAPI, and REST APIs

Set up and maintain CI/CD pipelines via Azure DevOps or GitHub Actions including deployment strategy and environment management

Conduct code reviews and enforce coding standards, design patterns, and best practices across the codebase

Lead, mentor, and upskill junior developers through regular coaching and technical guidance

Serve as the primary technical point of contact for stakeholders — communicating architecture decisions, risks, and delivery progress

Knowledge, Skills, Ability Requirements:

Minimum Requirements:

Must have a working and applied experience/knowledge on the following:

Azure AI Foundry, Azure AI Services, Azure Functions

Python / FastAPI / REST API

React / JavaScript

SQL Server / relational database design

Azure DevOps / GitHub

Agentic AI / LLM integration

Team leadership & code review

Proven experience building and deploying cloud-native or serverless applications on Microsoft Azure

Hands-on exposure to Azure AI / OpenAI services — including prompt engineering, RAG pipelines, or agentic AI workflows

Strong foundation in full-stack development — comfortable moving between frontend (React), backend (Python/FastAPI), and database layers (SQL Server)

Experience working in enterprise or consulting environments — able to navigate complex stakeholder landscapes while delivering technical outcomes

Exposure to CI/CD pipelines and modern DevOps practices via Azure DevOps or GitHub Actions

Familiarity with Agile delivery methodologies — able to estimate, plan, and deliver within sprint-based cycles