Sr Product Developer (Full Stack Development)

Duties Responsibilities

• Architect, develop, and optimize scalable web applications using .NET Core, C#, Web API, and frontend frameworks like Angular.
• Design and implement microservices-based architectures with a focus on performance, security, and scalability.
• Develop and maintain cloud-native applications.
• Optimize database performance using SQL/NoSQL databases such as SQL Server, PostgreSQL, or MongoDB.
• Lead technical discussions, code reviews, and best practice implementation within the development team.
• Collaborate with product managers, designers, and other engineers to align technical solutions with business needs.
• Ensure high availability, fault tolerance, and security in product architecture.
• Drive the adoption of DevOps practices, CI/CD pipelines, and containerization using Docker/Kubernetes.
• Stay updated with AI/ML advancements and explore their integration into products.
• Mentor and guide junior and mid-level developers, ensuring knowledge-sharing and growth.
• Own technical roadmaps, work on performance tuning, and help scale the product efficiently.
• Experience with message queues and event-driven architecture (Kafka, RabbitMQ).
• Knowledge of security best practices for web applications.
• Exposure to serverless computing (Azure Functions, AWS Lambda).
• Experience in data engineering, AI model deployment, or MLOps.

Knowledge, Skills Abilities

• Expertise in C#, .NET Core, Web API, and frontend frameworks (Angular).
• Strong understanding of JavaScript, TypeScript, HTML, CSS, and UI/UX best practices.
• Experience with SQL/NoSQL databases.
• Proven experience in architecting scalable solutions and microservices.
• Working knowledge on AI/ML or LLM models
• Hands-on experience with Azure, AWS, or GCP cloud services.
• Strong understanding of design patterns, SOLID principles, and clean code practices.
• Experience in DevOps, CI/CD, Git, Docker, and Kubernetes.
• Strong debugging, troubleshooting, and performance optimization skills.
• Exposure to AI/ML concepts, APIs, or frameworks is a plus.
• Excellent communication, leadership, and mentoring skills.

Qualifications

• 6+ years of experience in Full Stack Development.