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 while collaborating across global teams.

What you'll do

• Lead moderately complex initiatives and deliverables within technical domain environments.
• Contribute to large scale planning of strategies.
• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments.
• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures.
• Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements.
• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals.
• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff.

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.
• Strong hands-on development experience across modern technology stacks.
• 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.
• 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 relational and non-relational databases, preferably in cloud environments.
• Experience with asynchronous, event-driven, and messaging systems.
• Exposure to cloud platforms (Azure/AWS/GCP) and containerization technologies.
• Solid understanding of operating systems (Windows/Linux) and virtualization.
• 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

• 4+ years of Software Engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
• Experience or understanding of Kubernetes.
• Exposure to vector search / embeddings concepts and related storage options.

Details

• Location: Bengaluru, India.
• Posting end date: 29 Oct 2026.