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Senior · 10+ years exp
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Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 3, 2026. Microsoft scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Microsoft is an American multinational technology corporation founded in 1975 by Bill Gates and Paul Allen and headquartered in Redmond, Washington. It built the personal computing era around the Windows operating system and the Office productivity suite, and now generates the largest share of its revenue from Azure cloud infrastructure and commercial subscriptions. The company also owns GitHub, LinkedIn and the Xbox gaming business, and has invested heavily in artificial intelligence through its partnership with OpenAI and the Copilot assistants embedded across its products.
Overview

Microsoft Industry Solutions Delivery (ISD) is a global organization hosting over 6,000 strategic sellers, industry and security experts, elite engineers, world-class data scientists and architects, consultants, and delivery specialists. Together with our partners, we help Microsoft’s most strategic customers worldwide to address their specific challenges and provide comprehensive and industry-specific solutions that meet their unique needs. ISD is at the forefront of innovation, driving value across the entirety of the customers’ digital and AI transformation journey through repeatable and customized cutting-edge solutions through strategic engagements with customers across the globe powered by Microsoft Cloud and AI.

Responsibilities

  • 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.

Qualifications

  • 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.

AREAS OF EXPERTISE

Full-Stack Application Development

  • 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.

AI Application Development & Generative AI

  • 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).

Cloud Architecture, Platforms & DevOps

  • 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.

Security, Compliance & Zero Trust

  • 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.

Consulting, Transformation & Industry Experience

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.

Good 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

Other

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, read more about requesting accommodations.

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