1 day ago
Hyderābād, IndiaStaff+
Responsibilities
- Lead end-to-end architectural design and governance for Microsoft .NET systems.
- Define, implement, and oversee scalable cloud-native and hybrid architectures on Microsoft Azure.
- Drive application modernization, legacy-system decomposition, cloud migration, containerization, and serverless adoption.
- Create enterprise applications, APIs, and integration layers that support interoperability and extensibility.
- Define and govern CI/CD pipelines, infrastructure as code, environment standardization, and release processes.
- Conduct design reviews, code reviews, and technical governance forums.
- Develop source-control strategies, branching models, code check-in policies, and traceability standards.
- Mentor engineers and technical leads and promote architectural rigor and engineering excellence.
- Delegate architectural work while maintaining accountability for system integrity and quality.
- Participate in on-call escalation, root-cause analysis, incident management, and systemic remediation.
- Promote DevOps practices, continuous delivery, automation, and shared ownership of production systems.
- Define and govern AI-driven development standards, agent instructions, MCP usage, and responsible AI guardrails.
- Architect GenAI features on Azure and oversee prompt and agent orchestration, cost, latency, grounding, and privacy.
- Establish LLM evaluation and production observability practices, including prompt versioning, evaluation datasets, regression testing, and model-call tracing.
- Measure the impact of AI tooling on delivery velocity, quality, and cost, and drive adoption through mentoring and enablement.
Requirements
- Bachelor's degree in computers is required; a Master's degree is preferred.
- 13+ years of professional Microsoft development and architectural experience is required.
- At least 4 years of Azure cloud experience is required.
- Extensive experience with C#, .NET Framework, and .NET Core.
- Extensive experience with Azure cloud solutions across IaaS, PaaS, and SaaS, including Azure Entra, App Services, Azure Functions, API Management, and Azure SQL.
- Experience with Microsoft AI and ML and hands-on experience with Azure AI Foundry.
- Extensive experience with MS SQL Server, T-SQL, and relational database design.
- Experience with Angular, Vue, React, Blazor, or WebAssembly.
- Experience with GenAI, SSIS, ETL, Azure Data Factory, Azure Synapse, and Microsoft Fabric.
- Expert knowledge of architectural patterns and cloud-native development.
- Experience with Azure DevOps CI/CD pipelines and Entity Framework or another ORM.
- Experience governing AI-driven development lifecycles, including specification-driven development, agent instruction files, MCP servers, and secure AI guardrails.
- Experience with Azure OpenAI, RAG patterns, Semantic Kernel or equivalent orchestration, and GenAI-enabled Azure features.
- Experience with LLM evaluation and observability, including prompt versioning, evaluation datasets, hallucination and regression testing, and production tracing.
- Ability to measure AI tooling impact and drive adoption through enablement and mentoring.
- This is an individual contributor role.
Benefits
- Family well-being benefits, enhanced medical benefits, and paid time off.
- Focus on work/life balance, health, safety, wellness, development, DEI, authenticity, collaboration, recognition, and volunteering.
About Experian
Experian builds credit reporting, identity and fraud prevention, and data analytics software that help lenders, insurers, healthcare providers, and marketers make decisions; it also offers consumer credit monitoring and scores. The company earns via data licensing, decisioning software, and subscription services, operates in 30+ countries, is headquartered in Costa Mesa, California, and is a FTSE 100 public company listed on the London Stock Exchange (EXPN); it is one of the three major U.S. credit bureaus.