Senior Software Engineer

Talentfleet Solutions Pvt Ltd; Bengaluru; On-site; INR 120,000 - 180,000; Full time

Job description

Talentfleet Solutions Pvt Ltd | Full time

Talentfleet was founded with the idea of streamlining thehiring and HR processes of organizations across sectors. We are highlyexperienced in both startup and enterprise grade hiring requirements, and ourcurated talent database is expansive. Our process-driven approach with in-depthunderstanding of core organizational needs ensures that our service experienceis industry-grade and beyond.

About our client

Our Client is a global provider of tailor-made transport and logistics solutions specifically designed to meet the requirements of our clients. The heart of our client is +2,700 specialised employees from over 80 offices around the world.

Job Description

• 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.
  
• 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.