11 hours ago
Hyderābād, IndiaStaff+
Responsibilities
- Lead end-to-end architectural design and governance for Microsoft .NET-based systems.
- Define and implement cloud-native and hybrid architectures on Microsoft Azure.
- Implement Azure solutions using App Services, Azure Functions, Azure Kubernetes Service, Service Bus, Event Grid, API Management, and data platforms.
- Ensure high availability, resiliency, performance, security, maintainability, and cost efficiency.
- Guide legacy-system decomposition, cloud migration, containerization, and serverless modernization programs.
- Define and oversee CI/CD pipelines, infrastructure as code, environment standardization, and release governance.
- Conduct design reviews, code reviews, and technical governance forums.
- Define and govern AI-Driven Development Lifecycle standards, agent instructions, MCP server usage, and secure and responsible AI guardrails.
- Architect GenAI-enabled Azure features using Azure AI Foundry, Azure OpenAI, RAG patterns, and prompt and agent orchestration.
- Establish LLM evaluation and observability practices, including prompt versioning, evaluation datasets, hallucination and regression testing, and production model-call tracing.
- Measure the impact of AI tooling on delivery velocity, quality, and cost, and drive adoption through enablement and mentoring.
Requirements
- Bachelor's degree in computer science or a related computer field is required; a master's degree is preferred.
- 13+ years of professional Microsoft development and architectural experience.
- 4+ years of Azure cloud experience.
- Extensive experience with C#, .NET Framework, .NET Core, Azure cloud solutions, Azure Entra, App Services, Azure Functions, API Management, and Azure SQL.
- Experience with Microsoft AI and ML, including hands-on experience with Azure AI Foundry.
- Extensive experience with MS SQL Server, T-SQL, and relational database design.
- Experience with modern UI frameworks such as Angular, Vue, React, Blazor, or WebAssembly.
- Experience with SSIS, ETL, Azure Data Factory, Azure Synapse, and Microsoft Fabric.
- Experience with Azure DevOps CI/CD pipelines.
- Experience defining and governing AI-Driven Development Lifecycle practices, including spec-driven development, agent instruction files, MCP servers, and responsible AI guardrails.
- Experience architecting GenAI features with Azure AI Foundry, Azure OpenAI, RAG, and Semantic Kernel or equivalent orchestration tools.
- Experience with LLM evaluation and observability, including prompt versioning, evaluation datasets, hallucination and regression testing, and production tracing.
- Ability to consider cost, latency, grounding, and data privacy and to mentor teams in AI adoption.
Benefits
- Hybrid work arrangement requiring two work-from-office days per week.
- Maternity, paternity, and adoption leave for all parents, plus subsidized childcare.
- Employee Assistance Program, Mental Health First Aiders, and compassionate and domestic violence leave.
- Flexible work arrangements with annual, sick, and family care leave.
- Employee Resource Groups, paid volunteer leave, and recognition through the One Experian program.
- Career mentoring, Harvard Manage Mentor, Experian University, and e-learning platforms.
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.