Principal Full-Stack Architect (.NET & Cloud)

Project description

The Principal Full-Stack Architect (.NET & Cloud) is a senior technical leader responsible for defining and driving the architecture of enterprise-scale applications across cloud, backend, frontend, data, DevOps, and AI-enabled solutions.

The role combines strategic technology leadership with hands-on technical expertise, ensuring that solutions are scalable, secure, maintainable, and aligned with business objectives

Drive the full SDLC for Azure solutions: planning, requirement definition, development, testing, and quality assurance.

Develop, enhance, and integrate modules within core applications used by front-office investment teams.

Design and build containerized applications (Docker, Kubernetes/AKS) and cloud-native data stores (Mongo, SQL).

Develop RESTful APIs, microservices, and event-driven systems (Service Bus, Event Hubs) with strict secure-integration standards (OAuth2/OIDC, managed identities).

Build responsive, cloud-connected front-end interfaces (React/TypeScript; real-time via SignalR).

Design and deliver AI-enabled capabilities: document intelligence, retrieval/search (AI Search), and Azure OpenAI-based workloads over structured and unstructured data.

Configure, maintain, and optimize CI/CD pipelines and infrastructure-as-code (Bicep/ARM, Terraform); enable self-service engineering capabilities.

Implement large-scale data processing and advanced analytics solutions in collaboration with architecture and data teams.

Own incident management: troubleshooting, root cause analysis, and preventive measures.

Partner directly with senior IT and business stakeholders; own the platform narrative, adoption strategy, and delivery roadmap.

Mentor cross-functional teams on cloud-native and AI best practices

Must have

Must have:

15+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.

12+ years of .NET (C#) development within service-oriented and microservices architectures, including: ASP.NET Core / Web API, Entity Framework Core, async and concurrency patterns, and hands-on migration from .NET Framework to .NET 6/

Production code on a current LTS version is expected; legacy-only (.NET Framework, WebForms) profiles do not qualify.

7+ years hands-on Microsoft Azure: App Services, Functions, Logic Apps, AKS/Container Apps, APIM, Service Bus/Event Hubs, AI Search, AI Services/Azure OpenAI, Storage, Key Vault, Application Insights, Monitor.

Demonstrated architecture ownership: solution/application architecture defined and delivered end-to-end at enterprise scale, including presenting architectural strategy to senior leadership.

Candidates with purely implementation-level experience will not be considered.

5+ years containerization and orchestration (Docker, Kubernetes/AKS) in production.

5+ years Azure DevOps and CI/CD, including infrastructure-as-code (Bicep/ARM mandatory; Terraform preferred).

Practical delivery of AI/GenAI workloads on Azure (Azure OpenAI, AI Search, document intelligence, or equivalent) — in production, within the last 24 months.

Proof-of-concept-only or pre-2024 experience does not qualify.

Deep database expertise: NoSQL (Mongo) and relational SQL, including data access patterns for AI use cases.

Expertise in designing and consuming secure REST APIs; strong understanding of network architecture and authentication protocols (OAuth2/OIDC, managed identities).

Modern front-end delivery: React/TypeScript with real-time capabilities (SignalR).

Experience in regulated environments (financial services / investment management strongly preferred).

Required certifications:

Microsoft Certified: Azure Solutions Architect Expert: required.

Applications without it are not shortlisted.

Plus at least one of: Azure DevOps Engineer Expert or Azure AI Engineer Associate.

Nice to have

AWS and/or GCP exposure (multi-cloud evaluation experience)

Terraform in production

Databricks (recent, Unity Catalog-era experience) or comparable data/AI platforms; Palantir exposure

Experience establishing self-service platforms for citizen developers