About the job
Are you passionate about building Enterprise applications leading with AI? Are you interested in working for one of the most impactful and emerging areas in Microsoft, and passionate in advancing Microsoft’s Cloud Solutions, AI strategy, full stack engineering, Security, Dataverse & D365? Are you interested in a technology start-up like environment, working with highly energetic team, and passionate about working on latest technologies (Azure, AI, Microservices, React, Data, Power Platform and related technologies) to solve critical business problems?
Responsibilities
Lead the end-to-end software development lifecycle, including requirement gathering, architecture, application and database design, development, testing, and deployment, while enforcing engineering best practices to ensure high-quality, scalable, and secure solutions.
Develop resilient solution designs that adhere to architectural best practices, security by design, and business goals, guiding the team in selecting optimal technologies and design patterns for sustainable and high-performing systems.
Mentor team members through code reviews and design feedback, promoting skill growth, inclusion, and a collaborative culture that contributes to both individual and team success.
Foster strong collaboration across Microsoft product teams, program managers, and UX designers to manage dependencies, share knowledge, and co-deliver impactful engineering outcomes.
Establish and enforce best practices in designing, coding, automated testing, and documentation to ensure high standards for code quality, performance, and service reliability.
Build production reliability through monitoring, alerting, diagnostics, and automated recovery; lead incident mitigation and root cause analysis; and continuously improve the performance, scalability, and cost efficiency of the platform.
Identify and implement opportunities for automation, process optimization, and technical innovation, contributing to a culture of continuous improvement across the team.
Drive active participation in sprint, quarterly, and semester planning—providing accurate cost and effort estimates while maintaining transparent communication on deliverables, risks, and milestones. Partner effectively with cross-functional teams, stakeholders, and business partners to ensure alignment and on-time delivery.
Qualifications
Minimum
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred
6+ years of experience as a software engineer building commercial software and proven track record of shipping successful software products & services.
6+ years of experience in cloud development principles and patterns, particularly loosely coupled architectures and micro-services, DevOps model.
5+ years of experience in leading, managing, and driving technical and architectural dependencies.
Technical skills should include proficiency in C#, .NET, Microservices architecture, REST API’s, React, JavaScript/TypeScript, or equivalent languages/frameworks.
Demonstrated ability to harness next-generation AI development tools like GitHub Copilot, Copilot CLI/SDK, Claude CLI, or equivalents to transform the SDLC by building agents, plugins, skills, and MCP servers that drive automation and engineering excellence at scale.
Hands-on experience building applications and intelligent agents using ASP.NET and Azure AI technologies (including Azure AI Foundry), or equivalent frameworks, to deliver AI-powered solutions.
Familiarity with AI/ML concepts and integration into agent workflows.
Technical experience and knowledge in Enterprise-scale cloud infrastructure, architecture designs & proficiency in Azure PaaS services and cloud-native platforms, including: App Platform & Compute: Web Apps, Function Apps, AKS, Azure Container Apps Integration Services: API Management (APIM), Azure Front Door, Service Bus, Event Hub Data & Databases: Azure SQL, Cosmos DB, Azure Synapse, and NoSQL databases
Hands-on experience in DevOps tooling and Azure infrastructure, including source control (Git), CI/CD pipelines, automated testing frameworks.
Experience with Power Platform and D365.
Experience working in global agile teams or startup environments with strong customer focus.
Experience influencing and impacting in cross-group and matrixed team environments.