Senior Software Engineer- Full stack ( C#, .NET Core)

Overview

Senior Software Engineer role to design, build, and deliver scalable, high-quality software solutions within enterprise technology environments, leading moderately complex initiatives and collaborating across global teams.

What you'll do

• Lead moderately complex initiatives and deliverables within technology domain environments
• Contribute to large-scale technical planning and solution strategies
• Design, develop, test, debug, and document software applications, including upgrades and deployments
• Analyze and resolve moderately complex technical challenges requiring in-depth evaluation of systems, technologies, and processes
• Drive delivery of high-quality solutions aligned with business needs, compliance standards, and engineering best practices
• Collaborate with peers, product teams, and mid-level management to achieve technical and project goals
• Lead projects, act as an escalation point, and mentor junior engineers
• Partner with global teams, including participation in meetings aligned with U.S. time zones

What you'll need

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 4+ years of Software Engineering experience or equivalent demonstrated through work experience, training, military experience, or education
• Strong hands-on development experience across modern technology stacks
• Bachelor's degree in Engineering / MCA or equivalent
• Strong development experience in C#, .NET Core, REST/Web APIs, and Microsoft technologies
• Experience building scalable, distributed applications
• Experience with asynchronous, event-driven, and messaging systems
• Solid understanding of operating systems (Windows/Linux) and virtualization
• Experience with relational and non-relational databases, preferably in cloud environments
• Exposure to cloud platforms (Azure/AWS/GCP) and containerization technologies
• Experience leveraging AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, or similar) to improve developer productivity, code quality, and delivery speed
• Working knowledge of AI/ML fundamentals (basic concepts, model lifecycle, limitations, evaluation)
• Experience integrating AI capabilities into applications using APIs/SDKs (e.g., Azure OpenAI/OpenAI/AWS/GCP AI services)
• Practical understanding of LLM usage patterns: prompt design basics, output validation, and guardrails
• Familiarity with common AI application architectures (e.g., Retrieval-Augmented Generation/RAG conceptually) and when to use them
• Ability to build AI-enabled features such as summarization, classification, extraction, Q&A, and conversational assistants
• Awareness of responsible AI practices: privacy, security, bias considerations, safe handling of data, and compliance basics
• Understanding of operational considerations for AI in production (latency/cost considerations, monitoring, fallback strategies, human-in-the-loop)

Nice to have

• Proven experience developing full-stack, scalable distributed applications
• Ability to work across multiple components and collaborate with cross-functional engineering teams
• Strong focus on delivering high-quality features aligned to product requirements and user stories
• Experience or understanding of Kubernetes
• Exposure to vector search / embeddings concepts and related storage options

Details

• Location: Bengaluru, India
• Partner with global teams, including participation in meetings aligned with U.S. time zones
• Posting end date: 28 Oct 2026