Overview Microsoft Industry Solutions - Global Center for Innovation and Delivery GCID delivers end to end industry aligned solutions by accelerating customer adoption of Microsoft technologies With a global team of 1 000 professionals GCID offers early career engineers a collaborative environment to work on real world customer challenges and build consulting cloud and application development skills As a Consultant - Full Stack AI Application Developer Azure you will contribute to the design development and deployment of modern cloud based applications partnering with senior engineers and architects This role is ideal for developers eager to strengthen full stack skills deepen Azure expertise and gain exposure to AI enabled application patterns in enterprise delivery ResponsibilitiesDesign and build cloud native full stack applications on Microsoft Azure contributing across UI API services and data layers with high quality secure and scalable code Collaborate with architects and senior consultants to translate business requirements into technical designs and implementation plans participate in design reviews and solution walkthroughs 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 logging metrics traces for production readiness Apply security compliance and Responsible AI principles across application development and operations following Microsoft and customer governance standards 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 e g project leads delivery managers account teams 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 Qualifications4-10 years of professional software development experience 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 Full Stack Application Development Hands on experience designing and building applications using NET C NET Web APIs Node js with modern front end technologies such as JavaScript or TypeScript and frameworks like Angular or React Solid understanding of application development across UI API service integration and data layers Experience building and consuming RESTful services and integrating backend systems Working knowledge of relational databases such as Azure SQL Azure Cosmos DB PostgreSQL Azure SQL managed Instance or Azure Database for MySQL including data access and performance considerations Solid foundation in software engineering principles including clean code debugging testing and problem solving AI Enabled Application Development Hands on experience integrating AI capabilities into applications such as search chat recommendations or content generation using AI services or APIs Practical knowledge of Azure AI services including Azure AI Foundry and Azure AI Search and understanding of RAG Retrieval Augmented Generation patterns Experience with RAG pipelines vector search workflows or agent based patterns using tools such as Semantic Kernel LangChain or similar frameworks Experience with prompt engineering and optimization to build reliable high quality AI driven application workflows Working knowledge of Python for implementing AI workflows automation or AI assisted application components Understanding and application of Responsible AI principles in designing and delivering AI enabled solutions Cloud DevOps Experience working with Microsoft Azure for application hosting configuration and deployment Familiarity with CI CD pipelines source control Git and automated build and release processes Basic experience with application monitoring logging and troubleshooting in cloud environments Understanding secure application development practices including authentication and authorization Good to Have Preferred Skills 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 Consulting Mindset Collaboration Ability to work closely with senior consultants architects and customers to co-create innovative solutions with customers to help solve their business challenges Strong communication skills to explain technical concepts to business stakeholders Comfortable working in ambiguous environments learning quickly and adapting to change Eagerness to build engineering excellence reusable components and best practices Growth Learning Orientation 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 Other Embody our culture and values This position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled Microsoft is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex including pregnancy sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances If you need assistance with religious accommodations and or a reasonable accommodation due to a disability during the application process

📌 Consultant - Apps Full Stack Engineer (Telangana)
🏢 Microsoft
📍 Telangana