
Senior Consultant - Full Stack Apps A2
Microsoft · Posted Oct 24
Software, cloud computing, artificial intelligence, and hardware services
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About the role
Microsoft Industry Solutions – Global Center for Innovation and Delivery (GCID) delivers end-to-end, industry-aligned solutions and accelerates adoption of Microsoft technologies for enterprise customers. The team works on cloud-native and AI-powered applications and large-scale digital transformation. This role is a senior full-stack consultant that designs and deploys Azure-based solutions, applies AI capabilities, and leads technical delivery on customer engagements.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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. Advanced or higher-education qualifications are a plus.
- 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.
Preferred qualifications
- 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
Benefits and support
- Compensation and benefits are detailed in the job posting
About Microsoft
Microsoft Corporation is a multinational technology company that develops, licenses, and supports a wide range of software products, services, and hardware devices. Best known for its Windows operating systems, Microsoft 365 productivity suite, and Xbox gaming consoles, the company has expanded heavily into enterprise cloud computing via Azure and advanced artificial intelligence solutions. As one of the world's most valuable public enterprises, it empowers individuals and businesses globally through innovative digital transformation.
- Industry
- Software
- Company size
- 228,000+ employees
- Founded
- April 4, 1975
- Location
- Redmond, Washington, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Vice Chair and President
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