1 day ago
Noida, India +2 moreStaff+
Responsibilities
- Lead technical delivery of complex cloud-native and AI-enabled customer engagements as a hands-on individual contributor and, when required, engineering team lead.
- Define technology strategy and architecture for large customer engagements, aligned with business objectives and Microsoft reference architectures.
- Design, develop, deploy, operate, tune, and troubleshoot solutions on Microsoft Azure and other public clouds.
- Build full-stack applications across UI, API, service, domain, data, and integration layers.
- Develop enterprise-grade LLM, agentic AI, RAG, vector-search, prompt-engineering, and AI evaluation solutions.
- Set technical priorities, estimate effort, manage dependencies, make trade-offs, and drive successful releases.
- Ensure engineering quality, performance, security, compliance, observability, reliability, and production readiness.
- Identify and mitigate technical risks across projects and manage escalations and short- and long-term delivery risks.
- Apply security-by-design, Zero Trust, IAM, secure CI/CD, threat modeling, and compliance practices.
- Lead customer prototyping, pilots, production deployments, troubleshooting, cloud migration, and hybrid modernization initiatives.
- Collaborate with Sales and account-aligned teams to articulate technical value and expand adoption of Microsoft cloud and AI solutions.
- Contribute reusable intellectual property, thought leadership, engineering productivity improvements, and continuous delivery improvements.
Requirements
- 10+ years of professional experience in software engineering, application development, and solution delivery, with a focus on enterprise-scale customer engagements.
- 5+ years of customer-facing delivery leadership experience.
- Bachelor's degree in computer science engineering or a related field.
- Strong experience with .NET, C#, .NET Web APIs, Node.js, JavaScript, TypeScript, Angular or React, HTML5, and CSS/SCSS.
- Experience with software architecture patterns including MVC, CQRS, and Saga, plus multithreaded, parallel, and high-throughput service design.
- Proficiency with Azure SQL, Cosmos DB, Azure Database for PostgreSQL, MySQL, Azure SQL Managed Instance, and MariaDB.
- Hands-on experience with Azure AI Foundry, Azure AI Search, Cognitive Search, Vector Search, RAG, Semantic Kernel, LangChain, LangGraph, AutoGen, GitHub Copilot, and Cursor.
- Advanced Python experience for RAG pipelines, vector workflows, agent orchestration, and AI evaluation frameworks.
- Strong understanding of Responsible AI, including safety, fairness, transparency, and governance.
- Experience with Azure or another public cloud, Kubernetes, Azure Functions, Service Fabric, CI/CD, automated testing, blue/green deployments, canary deployments, monitoring, telemetry, and observability.
- Deep knowledge of security-by-design, encryption, authentication and authorization, Zero Trust, IAM, threat modeling, compliance, DevSecOps, SAST/DAST, and secure CI/CD.
- Experience with Microsoft Defender for Cloud, Microsoft Threat Modeling Tool, Azure Sentinel, and Splunk is expected or valuable.
- Experience delivering digital transformation, cloud migration, hybrid modernization, and customer co-innovation initiatives.
- Microsoft and cloud certifications such as AZ-204, AI-102, MCSD, MCSE, or equivalent modern cloud and AI certifications are preferred.
- Exposure to Azure, AWS, and GCP and experience in financial services, government, healthcare, manufacturing, or retail and supply chain is valuable.
Benefits
- The position is open for a minimum of five days, with applications accepted on an ongoing basis until filled.
- Microsoft is an equal opportunity employer and provides reasonable accommodations during the application process.
Tech Stack
AngularAWSAzureC#CSSGoogle Cloud PlatformJavaScriptKubernetesMariaDBMySQL.NETNode.jsPythonReactSplunkTypeScript
Categories
Solutions Engineering
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.