Microsoft Industry Solutions – Global Center for Innovation and Delivery (GCID) delivers end‑to‑end, industry‑aligned solutions by accelerating customer adoption of Microsoft technologies.

Company: Microsoft

Role: Consultant - Apps Full Stack Engineer A2

Location: India, Telangana, Hyderabad

Experience:

4-10 years of professional software development experience

Key Skills:

.NET (C#)
.NET Web APIs
Node.js
JavaScript
TypeScript
Angular
React
Azure SQL
Azure Cosmos DB
PostgreSQL
Azure SQL managed Instance
Azure Database for MySQL
Python
Azure AI Foundry
Azure AI Search
Semantic Kernel
LangChain

Qualification:

Bachelor's degree in computer science, Engineering, or a related discipline, or equivalent practical experience
Microsoft or cloud certifications are preferred, including but not limited to: MCSD/MCAD/MCSE, AZ‑204, AI‑900, AI‑102, or equivalent entry‑ to mid‑level cloud and AI certifications

Role Focus:

Design and build cloud‑native, full‑stack applications on Microsoft Azure
Collaborate with architects and senior consultants to translate business requirements into technical designs and implementation plans
Own feature delivery end‑to‑end: estimate effort, implement features, write unit/integration tests, perform code reviews, and support deployment through CI/CD pipelines
Integrate backend services and data platforms, implement RESTful APIs, and ensure performance, reliability, and observability for production readiness
Apply security, compliance, and Responsible AI principles across application development and operations
Identify technical risks and dependencies early; raise and help mitigate issues, support technical escalations, and contribute to contingency plans for smooth delivery
Reuse and contribute to shared frameworks and IP, leveraging best practices, accelerators, and patterns to improve delivery speed and predictability
Collaborate cross‑functionally to articulate technical value, support adoption, and ensure customer outcomes
Continuously learn and improve, adopt modern engineering practices (DevSecOps, automation, testing, cloud monitoring) and sharing learnings with the team

Nice to have:

Exposure to evaluation and tuning techniques for improving AI response quality and reliability
Familiarity with microservices and serverless architectures, including Azure Functions, containers, or Kubernetes
Awareness of deployment strategies such as blue/green or canary releases
Exposure to end‑to‑end observability concepts (metrics, traces)
Experience with open‑source technologies or familiarity with platforms beyond Azure (e.g., Java, AWS, or Google Cloud Platform)
Domain exposure to industries such as financial services, healthcare, manufacturing, or retail

Other:

Embody our culture and values
Strong interest in continuous learning and technical certifications
Curiosity to explore emerging data and AI technologies
Willingness to receive feedback, grow technical depth, and expand ownership over time

Consultant - Apps Full Stack Engineer A2

Skills Required

Description