- Design, build and evolve customer-facing digital products and the services behind them using C# and .NET.
- Develop APIs and integrations that connect our customer experiences with the wider Blue Water digital ecosystem.
- Work closely with Product Owners, engineers, architects and business colleagues to understand customer needs and turn them into simple, scalable solutions.
- Look beyond the immediate requirement and consider the end-to-end customer journey challenging unnecessary complexity and helping us create coherent experiences across products.
- Know when a problem cannot be solved in code alone and involve the right people, understand how the business and customer journey work, and avoid making assumptions about either.
- Use AI as part of everyday engineering from coding, testing and documentation to exploring agentic development approaches while also identifying opportunities to embed AI into our customer-facing products where it creates real value.
- Contribute to technical decisions and help the team balance scalability, maintainability, speed, security and business needs.
- Strengthen engineering practices through code reviews, testing, automation, observability, knowledge sharing and constructive technical discussions.
- Help modernise and simplify existing solutions while making pragmatic decisions about what should be improved, reused, replaced or left alone.
- Share your experience with other engineers and be someone colleagues can spar with when solving complex problems or evaluating different approaches.
- Collaborate with Enterprise Engineering on shared engineering capabilities, platforms, standards and developer experience.

Requirements

- 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 modern engineering practices, including automated testing, CI/CD, observability and secure software development.
- Experience contributing to important technical decisions and seeing those decisions through into production.
- The ability to balance engineering principles with customer needs, business value and operational reality – and recognise when the right solution requires more than technology.
- Confidence to bring your own perspective, challenge ideas constructively and have your own thinking challenged in return.
- A collaborative mindset and a genuine interest in sharing knowledge and helping the people around you succeed.
- Good English communication skills, written and spoken.

Advantages

- Backend: C#, .NET, ASP.NET Core, REST APIs
- Cloud: Microsoft Azure, including Azure Functions and cloud-native services
- Integration &
- 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.

📌 Senior Software Engineer (Bengaluru)
🏢 Talentfleet Solutions
📍 Bengaluru