•20+ years of experience in software/solution engineering, with at least 10–15 years as Architect and delivery leadership roles.
•Proven experience in leading delivery of complex, multi-disciplinary projects.
•Strong understanding of modern delivery methodologies (Agile, Scrum, DevOps, etc.).
•Excellent communication, stakeholder management, problem-solving, and team leadership skills.
•Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience).
•Relevant certifications are a plus.
Areas of Expertise
Full Stack Application Engineering
•- End-to-end design and development of modern web and mobile applications using React, Angular, Next.js, Blazor, or equivalent frameworks
•Strong backend expertise using .NET / Java / Node.js / Python, with clean architecture, domain-driven design, and API-first principles
•Experience building microservices and distributed systems using REST, gRPC, event-driven patterns, and asynchronous processing
•Hands-on expertise with relational and NoSQL databases (Azure SQL, PostgreSQL, Cosmos DB) and performance tuning
•Strong understanding of state management, scalability, resiliency, and application security
AI Driven Application Development
•Proven expertise in AI‑driven application development, embedding intelligence directly into modern, cloud‑native applications.
•Extensive hands‑on experience using GitHub Copilot as a core engineering capability to accelerate solution design, coding, refactoring, testing, and documentation across delivery teams.
•Demonstrated ability to foster a Copilot‑assisted engineering culture (“vibe”) - enabling rapid iteration, AI pair‑programming, explain‑as‑you‑build workflows, and high‑velocity delivery without compromising engineering quality.
•Strong experience modernizing application landscapes using GitHub Copilot‑assisted approaches, including rapid codebase comprehension, dependency analysis, large‑scale refactoring, and migration to cloud‑native and AI‑enabled architectures.
•Effective use of GitHub Copilot across the entire SDLC, from solutioning and scaffolding through CI/CD automation, test generation, production readiness, and operational excellence.
•Ability to coach and enable teams and customers on effective Copilot usage patterns, prompt strategies, and safe AI‑assisted engineering practices in enterprise environments.
•Apply Responsible AI principles across design and delivery, incorporating security, privacy, governance, and compliance controls into production‑grade engineering workflows.
AI-Enabled Application Development
•Ability to translate business scenarios into production‑grade AI solutions using Azure OpenAI, Azure AI Services, Azure AI Foundry, and custom ML models, with hands‑on delivery of RAG architectures leveraging Azure AI Search, vector databases, enterprise data grounding, and integration patterns.
•Strong expertise in prompt engineering, context management, grounding strategies, and LLM integration for copilots, conversational interfaces, intelligent workflows, and decision‑support applications.
•Proven experience designing and implementing single‑agent and multi‑agent AI systems, including task boundaries, tool invocation, memory management, collaboration, delegation, and coordination, using frameworks such as Semantic Kernel, LangChain, and LangGraph.
•Deep understanding of agentic workflows, combining LLM reasoning with external tools, APIs, and enterprise data sources, alongside agent lifecycle management - planning, execution, retries, failure handling, and human‑in‑the‑loop patterns.
•Designs enterprise‑ready AI solutions with built‑in observability and operational excellence, including telemetry, prompt tracing, agent behavior logging, model metrics, experimentation, drift monitoring, and cost/performance optimization, while applying Responsible AI principles across security, privacy, governance, and compliance - balancing speed, quality, and enterprise constraints at scale.
Cloud-Native Architecture (Azure)
•- Deep experience designing cloud‑native, PaaS‑first solutions on Azure, prioritizing managed services over IaaS to improve scalability, resilience, security, and operational efficiency.
•Proven expertise in architecting and delivering solutions using Azure App Service, Azure Container Apps, AKS, Azure Functions, and API Management, selecting the right compute model based on workload characteristics and business needs.
•Strong working knowledge of identity, security, and networking architectures, including Microsoft Entra ID, RBAC, Managed Identity, Key Vault integration, private endpoints, and VNET‑integrated application deployments.
•Design and implementation of architectures that support high availability, horizontal scalability, disaster recovery, and fault tolerance, including multi‑region deployment patterns and resiliency strategies.
•Experience in cost‑aware architecture design, applying cost optimization strategies such as right‑sizing, autoscaling, consumption‑based services, and proactive cost governance.
•Apply Microsoft Well‑Architected Framework principles across reliability, security, performance efficiency, operational excellence, and cost optimization, incorporating architecture reviews and continuous improvement into delivery.
•Hands‑on experience building cloud‑ready landing patterns, integrating application architectures with enterprise networking, security baselines, and platform standards.
DevOps, Platform & Developer Productivity
•- Strong expertise in designing and operating CI/CD pipelines using Azure DevOps and GitHub Actions, enabling automated build, test, security scanning, and deployment workflows across environments.
•Proven hands‑on experience with Infrastructure‑as‑Code (IaC) using Bicep, ARM, and Terraform, leveraging GitHub Copilot to scaffold modules, generate templates, and propose secure configurations aligned with enterprise standards.
•Deep understanding of observability and reliability engineering, including centralized logging, metrics, distributed tracing, SLOs, and proactive alerting for production systems.
•Demonstrated ability to enhance developer productivity and delivery velocity through inner‑source practices, reusable components, reference implementations, accelerators, and automation.
•Experience embedding DevSecOps practices into delivery pipelines, including secure coding checks, dependency scanning, secrets management, policy enforcement, and compliance validation.
•Effective use of GitHub Copilot across the DevOps lifecycle, including authoring pipeline definitions, generating runbooks and release notes, assisting with PR summaries, and accelerating troubleshooting and incident response.
•Strong grasp of platform engineering principles, building paved‑road solutions and self‑service capabilities that balance speed, governance, and operational excellence.
•Ability to continuously improve engineering throughput, quality, and system reliability, while maintaining enterprise security and compliance expectations.
Solutioning, Pre-Sales & Technical Leadership
•- Lead technical solutioning, estimations, and support architecture design during pre-sales and delivery shaping
•Translate business outcomes into clear architecture, execution plans, and risk mitigation strategies
•Influence technical direction across multiple teams and engagements
•Act as a trusted advisor to clients and internal leadership
Frontier Engineering & Customer Enablement Skills
•- Lead rapid prototyping, pilots, and early-stage deployments for enterprise customers
•Ability to go from whiteboard to production with minimal friction
•Strong troubleshooting and production support expertise, including performance, reliability, and security issues
•Side‑by‑side coding with customer engineering teams to unblock deployments and accelerate time to value
•Outcome‑driven engineering focused on business impact, not activity
•Building reusable assets, accelerators, and reference implementations
•Comfortable operating in ambiguous, high-pressure environments with C-Level customer stakeholders
Personal Attributes
•Passion for technology and innovation.
•Ability to interact confidently with senior leaders and clients.
•Strong decision-making skills and a consultative mindset.
•Flexibility to manage in a fast-moving, ambiguous consulting environment.
•Commitment to continuous learning and professional growth.
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.
