Forward Deployed Software Engineer
Description
Technical (Azure-specific)
- AI/GenAI: Azure OpenAI / AI Foundry, Azure AI Search for RAG, Semantic Kernel or LangChain, prompt engineering, evaluation and guardrails
- App and integration: Azure Functions, App Service, AKS and containers, API Management, Service Bus, Logic Apps
- Data: Microsoft Fabric, Synapse or Databricks, Cosmos DB, Azure SQL, Data Factory pipelines
- Identity and security: Entra ID, RBAC, Key Vault, managed identities, private endpoints.
- DevOps / infrastructure as code: Bicep or Terraform, Azure DevOps or GitHub Actions, monitoring with App Insights and Log Analytics
- Low-code: Power Platform, Copilot Studio, Dynamics 365 integration
- Languages: C#/.NET and Python, TypeScript
Must have
- Works inside the client's environment and turns vague business problems into working prototypes in days, then takes them to production
- Runs discovery calls and talks comfortably with CXOs and engineers alike
- Can debug a messy enterprise setup on the spot (networking, permissions, legacy systems)
- Writes clearly: architecture docs, demos, handover material
Certifications : AZ-305 (Solutions Architect), AI-102 (AI Engineer), AZ-400 (DevOps), DP-600 (Fabric)
Skills
- AI
- AKS
- Analytics
- API
- Azure
- Azure Data Factory
- Azure DevOps
- Azure Functions
- Azure Logic Apps
- Bicep
- Cosmos Db
- C#
- Databricks
- DevOps
- .NET
- Entra ID
- Generative AI
- GitHub
- GitHub Actions
- Infrastructure as Code
- LangChain
- Microsoft Copilot
- Microsoft Dynamics
- Microsoft Fabric
- Networking
- OpenAI
- Power Platform
- Prompt Engineering
- Python
- RBAC
- Semantic Kernel
- SQL
- Terraform
- TypeScript
- Vault