Technical Lead - Fullstack @ Infobeans

What will your role look like

• Lead the design and development of complex, distributed, cloud-native microservices using Spring Boot and Node.js.
• Collaborate with Solution Architects to align with enterprise architecture and scalability goals.
• Provide technical leadership and mentorship across backend, frontend, and integration teams.
• Conduct code reviews, enforce best practices, and ensure adherence to coding standards.
• Contribute hands-on to development using Java, Spring Boot, Node.js (Express/NestJS).
• Design and build RESTful APIs, event-driven components, and data integration layers.
• Work closely with frontend engineers for seamless integration with Angular or React applications.
• Develop and deploy applications on AWS using services such as Lambda, ECS/EKS, RDS, S3, Step Functions, SageMaker, Bedrock, and data lake.
• Apply DevOps best practices with understanding of CI/CD, Docker, and Kubernetes.
• Implement secure coding, ensure compliance with enterprise security standards, and drive code quality.

Why you will love this role

• Opportunity to lead end-to-end solution design for large-scale, enterprise-grade applications.
• Exposure to cutting-edge technologies like AI-assisted coding, low-code platforms, and modern cloud ecosystems.
• Work in a collaborative, innovation-driven environment that values mentorship and technical depth.
• Be a key contributor in integrating AI tools and promoting their adoption across teams for improved productivity.
• Participate in building intelligent, scalable, and future-ready systems in partnership with cross-functional teams.

We would like you to bring along

• Strong technical expertise in:
• Backend: Java (Spring Boot), Node.js (Express/NestJS)
• Frontend (Integration level): Angular, React
• Architecture: Microservices, Event-driven, Cloud-native
• Databases: PostgreSQL, Oracle
• Cloud: AWS (hands-on experience with key services)
• DevOps understanding: CI/CD pipelines, Docker, Kubernetes (conceptual/integration level).
• AI-assisted development tools (Mandatory): GitHub Copilot, AWS CodeWhisperer, or equivalent.
• Experience in low-code/workflow tools such as Appsmith, Mendix, n8n, or Camunda.
• Strong knowledge of secure coding, testing, and deployment best practices.
• Ability to mentor teams, drive technical discussions, and ensure solution scalability and maintainability.

Good-to-have skills

• Exposure to AI/ML pipelines or predictive systems using AWS services (SageMaker, Forecast, Comprehend, etc.).
• Experience in utility or energy domain applications.
• Familiarity with performance tuning, security compliance, and observability in production environments.
• Understanding of workflow orchestration and automation frameworks.