Technical Architect

Job Description

About the Role We are looking for a technically strong Backend Engineer/Architect experienced in either Node.js or Go or Java, who can design microservices-based systems, optimize performance, and lead backend teams in following scalable and secure coding practices. The role requires someone with a polyglot mindset, strong cloud-native engineering experience, and a deep backend problem-solving capability. Key Responsibilities: Design and develop microservices using Node.js (Koa/Express) or Go (Gin framework) or Java. Architect and implement backend systems on public cloud platforms (AWS, Azure, or GCP). Advocate and implement best practices for software architecture, secure development, and database design Choose appropriate databases (MongoDB, SQL, NoSQL, etc.) based on use cases. Contribute to documentation of architecture, design, and implementation decisions. Drive event-driven architecture or RESTful API-based services as needed. Mentor backend teams on debugging, performance tuning, and scalability. Must-Have Skills: 8-12 years of experience in backend systems design and development. Expertise in Node.js (Koa/Express) or Go (Gin or similar) or Java. Strong experience working with at least one major cloud platform (AWS, Azure, or GCP), including deploying, scaling, and monitoring services. Hands-on experience with containerization and orchestration using Docker and Kubernetes in production environments. Strong MongoDB skills, and exposure to other data stores (relational, columnar, time-series, etc.). Hands-on experience building REST APIs and/or event-driven systems (e.g., Kafka, RabbitMQ). Solid understanding and implementation of secure development practices, including threat modeling, input validation, authentication/authorization, data protection, and secure API design. Deep understanding of scalable architecture and distributed systems. Have a solid understanding of web sockets concepts and should have an understanding of how to scale Good to Have: Familiarity with caching strategies, message queues, and service mesh. Exposure to Domain-Driven Design (DDD) and Clean Architecture principles. Experience driving CI/CD automation and DevSecOps culture. Build application architecture with AI in mind.