C#, .NET, ASP.NET Core, REST APIs .Cloud: Microsoft Azure, including Azure Functions and cloud-native servicesIntegration & Messaging: APIs, Azure Service Bus, event-driven and asynchronous integration patterns. Data: SQL Server / Azure SQL and modern approaches to data access and persistence. Containers & Runtime: Docker and containerised workloads, with Kubernetes experience an advantage. Engineering & Delivery: Git, Azure DevOps, CI/CD pipelines, automated testing and Infrastructure as Code . Observability: Application Insights, logging, and monitoring with a focus on understanding how our products perform in production. Security: Secure-by-design development, identity and access management, secrets management and good cloud security practices. AI & Agentic Engineering: LLM APIs, AI coding tools, agents, RAG and automation.



We want AI to become a natural part of how we engineer software not a separate experiment alongside it.Strong hands-on experience with C# and .NET and building production-grade software.Strong experience designing and developing APIs and integrations. Experience with databases and cloud-native development, preferably Microsoft Azure.Practical experience applying AI in software development or digital products. This could include LLM APIs, AI-assisted development, agents, RAG, automation or similar technologies.A strong understanding of contemporary engineering practices, including automated testing, CI/CD, observability and secure software development.Good English communication skills, written and spoken.

📌 Walk-in || Senior Software Engineer (Bengaluru)
🏢 Talentfleet
📍 Bengaluru