Senior Consultant - Full Stack Apps A2 Job at Microsoft Corporation (Hyderabad)

Job Description

Microsoft Industry Solutions – Global Center for Innovation and Delivery (GCID) delivers end‑to‑end, industry‑aligned solutions by accelerating the adoption of Microsoft technologies. With a global team of 1,000+ professionals, GCID offers experienced consultants the opportunity to deliver high‑impact, enterprise‑scale solutions. As a Senior Consultant – Full Stack AI Application Developer, you will design and deliver modern, cloud‑native and AI‑powered applications that drive measurable business outcomes. You will contribute across the solution lifecycle—as an advisor, architect, and hands‑on engineer—on complex, high‑visibility customer engagements. The ideal candidate combines strong full‑stack engineering expertise with applied AI capabilities, deep knowledge of Cloud services, and a consulting mindset focused on customer value. You will ensure strategic, architectural, and operational alignment while advocating for scalable, secure, and well‑designed solutions.

Job Responsibility

Lead the technical delivery of complex, cloud-native and AI-enabled engagements, contributing as a hands-on individual contributor and, where required, leading engineering teams to ensure high-quality, predictable outcomes
Define and drive the technology strategy for large and complex customer engagements, ensuring solutions are scalable, secure, and aligned to business objectives, architectural best practices, and Microsoft reference architectures
Design, develop, and deploy solutions on Microsoft Azure, accelerating customer value through the effective use of Microsoft technologies, platforms, and delivery methodologies
Applies user-centered design principles to translate customer needs into clear technical requirements and scalable solution designs through iterative prototyping and feedback
Provide delivery leadership by setting technical priorities, estimating effort, managing dependencies, making disciplined trade-offs, and driving successful releases
Ensure engineering excellence and solution quality, with accountability for the overall efficacy, performance, security, and compliance of technical delivery within assigned engagements
Identify, assess, and manage technical risks and dependencies across projects, including defining mitigation strategies, handling escalations, and planning for both short- and long-term delivery risks
Apply information security, compliance, and assurance standards to maintain stakeholder confidence and meet customer, regulatory, and Microsoft governance requirements
Drive innovation and digital transformation, leveraging existing intellectual property (IP), reusable assets, and best practices to improve delivery predictability and speed
Collaborate with cross-functional teams, including Sales, account-aligned teams, and peers, to articulate technical value propositions and support the expansion and adoption of Microsoft cloud and AI solutions with strategic customers
Contribute to thought leadership and continuous improvement, fostering new ways of working that enhance engineering productivity, solution quality, and responsiveness to evolving customer needs

Requirements

10+ years of overall professional experience in software engineering, application development, and solution delivery, with a strong focus on enterprise-scale, customer-facing engagements
5+ years of experience in customer-facing delivery leadership
Bachelor's degree in computer science engineering, or a related field
Microsoft and cloud technology certifications are preferred, including but not limited to: AZ-204 (Developing Solutions for Microsoft Azure), AI-102 (Designing and Implementing an Azure AI Solution), MCSD / MCSE or equivalent modern cloud and AI certifications
Strong experience designing, building, and deploying business- and mission-critical applications using .NET (C#), .NET Web APIs, Node.js
Full-stack development expertise across UI, API, service, domain, data, and integration layers, with proficiency in C#, JavaScript, TypeScript, Angular or React, HTML5, and CSS/SCSS
Deep understanding of software architecture patterns and anti-patterns for large-scale systems, including MVC, CQRS, and Saga, with a focus on performance, scalability, and resiliency
Excellent foundation in software engineering principles, data structures, algorithms, testing, debugging, and analytical problem-solving
Proficiency with cloud data platforms including Azure SQL, Cosmos DB, Azure Database for PostgreSQL, MySQL, Azure SQL Managed Instance, and MariaDB
Experience creating reusable application frameworks and shared components that address cross-cutting concerns such as logging, security, resiliency, and configuration management
Hands-on experience with multi-threaded and parallel programming and high-throughput service design
Strong hands-on experience, preferably with Azure AI Foundry, Azure AI Search, Cognitive Search, Vector Search, and Retrieval-Augmented Generation (RAG) patterns
Proven expertise in building enterprise-grade LLM and agentic AI solutions using Semantic Kernel, LangChain, LangGraph, AutoGen, and developer copilots such as GitHub Copilot and Cursor
Practical experience in prompt engineering, prompt optimization, evaluation frameworks, and reliability tuning to deliver safe, high-quality AI outputs
Advanced Python expertise in implementing RAG pipelines, vector workflows, agent orchestration, and AI evaluation frameworks
Strong understanding and application of Responsible AI principles, including safety, fairness, transparency, and governance (mandatory)
Extensive experience in designing, implementing, operating, tuning, and troubleshooting large-scale cloud solutions on Microsoft Azure or any public cloud
Hands-on expertise implementing microservices and serverless architectures using Kubernetes, Azure Functions, Service Fabric, and related platforms
Strong experience defining and implementing CI/CD pipelines, automated testing, and release strategies including Blue/Green and Canary deployments
Deep experience with cloud monitoring and end-to-end telemetry, ensuring observability, reliability, and production readiness
Strong expertise in security-by-design principles, including encryption, authentication and authorization (AuthN/AuthZ)
Deep knowledge of Zero Trust architecture, IAM, secure-by-default design, threat modeling, compliance standards, and DevSecOps practices
Hands-on experience with least-privilege access, assume-breach concepts, micro-segmentation, continuous monitoring, SAST/DAST, and secure CI/CD pipelines
Familiarity with security and monitoring tools such as Microsoft Defender for Cloud, Microsoft Threat Modeling Tool, Azure Sentinel, and Splunk
Proven experience delivering large-scale digital transformation initiatives, including cloud migration and hybrid modernization programs
Brings architectural breadth through exposure to open-source technologies and platforms
Has good exposure to Azure/AWS/GCP, along with industry experience across domains such as financial services, government, healthcare, manufacturing, and retail/supply chain

Nice to have

Customer Co-Innovation Mindset & Customer Enablement
Lead rapid prototyping, pilots, and early-stage production deployments for enterprise customers, accelerating time-to-value
Translate from whiteboard to production with minimal friction, engineering alongside customer teams to unblock delivery and adoption
Own troubleshooting across performance, reliability, cost, security, and data quality, delivering outcome-driven engineering in ambiguous, high-pressure environments

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Senior Consultant - Full Stack Apps A2

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