Fullstack Gen AI - Associate Manager

Iris Software; Dadri; Hybrid; INR 2,800,000 - 3,600,000; Full time

Job summary

Iris Software is hiring for a Fullstack Gen AI Associate Manager to drive backend and frontend development for a managed hosting platform. You will architect scalable services in Python, build modern UIs with React, and integrate with multi-region cloud strategies.

You will collaborate with an India-based pod and clients to translate product requirements into robust designs. The role emphasizes production-grade testing, observability, and reliable deployments, with a mostly remote setup and

Qualifications

• Strong experience in building production back-end services in Python (3+ years).
• Experience with at least one major Python web framework (FastAPI/Django/Flask).
• Solid understanding of RESTful APIs, async patterns, and CI/CD integration.

Responsibilities

• Design and implement back-end services and front-end UIs for a managed application hosting platform.
• Build features that abstract infrastructure complexity behind workflows and APIs.
• Use AI coding tools in a high-velocity environment, validate code, write tests, and production hardening.

Skills

Python

React

REST APIs

Async programming

CI/CD

Tools

Terraform

Azure

Docker

GitHub Actions

Azure DevOps

Job description

Job Title: Fullstack Gen AI - Associate Manager

Location: Noida, UP, India

Company: Iris Software

Job Description

• Design and implement back-end services and front-end UIs for a managed application hosting platform (self service onboarding, environment provisioning, deployment flows, governance controls).
• Build features that abstract away infrastructure complexity (e.g., multi region, multi cloud, HA/DR patterns) behind clear, intuitive workflows and APIs.
• Use AI coding tools (e.g., Claude Code, AntiGravity, GitHub Copilot) in a high velocity, high standards environment, framing problems, validating generated code, writing tests, and hardening for production.
• Collaborate on technical architecture design with client's cloud engineering team
• Translate product requirements into detailed technical designs and implementation plans.
• Implement robust testing, observability, and reliability practices to ensure deterministic infrastructure behaviour and predictable deployments.
• Participate in code reviews, design reviews, and sprint ceremonies, working closely with an India based pod and stakeholders.
• Expertise in building production back-end services in Python - 3+ years experience
• Experience with at least one major Python web framework (e.g., FastAPI, Django, Flask)
• Solid understanding of RESTful APIs, async patterns, and integration with CI/CD pipelines
• Experience in building modern SPAs with React (ReactJS / ReactJD)
• The role is mostly remote, but we expect once a week in office for workshops.

Additional Platform Requirements

• Experience with Infrastructure as Code such as Terraform and/or Bicep.
• Working knowledge of Docker, containers and Azure Container Apps / AKS.
• Experience integrating applications with Azure APIs/SDKs and GitHub Actions / Azure DevOps pipelines.
• Understanding of Entra ID, Managed Identity, RBAC and secure secrets management.
• Experience building reliable workflows with state management, retries, idempotency and error handling.
• Familiarity with cloud observability including logs, metrics, distributed tracing and Application Insights/OpenTelemetry.

Mandatory Competencies

• DevOps/Configuration Mgmt - GitLab,Github, Bitbucket
• Cloud - Azure - Azure Devops, Azure Pipelines, Azure CLI
• User Interface - UI-React - React
• Data AI - GEN AI - Prompt Engineering / Vector Databases
• Data AI - GEN AI - Workflow Agentic Frameworks (LangChain / LangGraph)
• Data AI - GEN AI - Fine tuning Model Customization / AI Agents Tool Calling
• Data AI - GEN AI - Retrieval Augmented Generation (RAG) / Graph RAG / Agentic AI Systems
• Data AI - GEN AI - Azure AI Foundry
• Data AI - GEN AI - Python
• Data AI - GEN AI - Pandas
• Data AI - GEN AI - NumPy
• Data AI - GEN AI - Cloud Application Integration Deployment
• Data AI - GEN AI - Advanced GenAI Agentic Framework Concepts
• Beh - Communication and collaboration