This role is for one of the Weekday's clients

**Salary range: Rs 1000000 - Rs 2500000 (ie INR 10-25 LPA)

**Min Experience: 7 years

Location: Bangalore

JobType: full-time

We are seeking a highly skilled and forward-thinking Senior Software Engineer to design, build, and scale modern, cloud-native applications. This role is ideal for someone who combines deep technical expertise in backend and frontend development with a strong interest in emerging technologies like Generative AI. You will play a critical role in shaping architecture, mentoring engineers, and delivering high-impact solutions across global products.

Key Responsibilities

Design, develop, and maintain scalable, high-performance applications using .NET technologies (C#, ASP.NET Core, Web APIs).
Build responsive, user-centric interfaces using React, ensuring seamless integration with backend services.
Architect and implement cloud-native solutions leveraging Azure and AWS, including microservices, serverless components, and containerized deployments.
Integrate Generative AI (GenAI) capabilities into applications, such as intelligent automation, chat interfaces, and AI-powered insights.
Collaborate with product managers, designers, and cross-functional teams to translate business requirements into technical solutions.
Drive best practices in coding, testing, security, and performance optimization.
Lead code reviews, mentor junior engineers, and contribute to a strong engineering culture.
Troubleshoot and resolve complex production issues, ensuring system reliability and scalability.
Stay updated with evolving technologies and proactively recommend innovations to enhance products and processes.

Required Skills & Qualifications

7–16 years of experience in software development, with strong expertise in .NET and full-stack engineering.
Proficiency in React.js, modern JavaScript (ES6+), and frontend architecture patterns.
Hands-on experience with Azure and/or AWS, including services like App Services, Lambda, EC2, S3, Kubernetes, and CI/CD pipelines.
Practical exposure to Generative AI, such as working with LLM APIs, prompt engineering, or building AI-enabled features.
Strong understanding of RESTful APIs, microservices architecture, and distributed systems.
Experience with relational and NoSQL databases (e.g., SQL Server, Cosmos DB, DynamoDB).
Familiarity with DevOps practices, containerization (Docker), and orchestration tools (Kubernetes).
Solid grasp of software design principles, data structures, and system design.
Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred Qualifications

Experience in building AI-powered applications or integrating AI models into enterprise systems.
Knowledge of event-driven architectures and messaging systems (Kafka, Service Bus, etc.).
Exposure to security best practices in cloud and application development.
Prior experience in leading teams or owning end-to-end delivery of large-scale systems.