Full Stack Developer (MERN)

Key Accountabilities

• Design, develop, and maintain scalable full stack applications for MobiLytix Rewards, a cloud-native B2B Loyalty Management SaaS platform, using the MERN stack (MongoDB/Postgres, Express, React, Node.js).

• Collaborate closely with:

• Product engineering teams to understand and implement business requirements.

• Tech Ops / Support teams to debug, triage, and resolve customer production issues.

• DevOps teams on application fixes, deployments, and production stability.

• Build responsive and high-quality user interfaces using React, TypeScript, and modern component libraries (Material UI / Ant Design).

• Develop backend services using Node.js, Express, and frameworks such as Feathers.js, following microservices and API-first design principles.

• Design and implement scalable APIs and backend services to support product features and integrations.

• Build and maintain data pipelines and workflows, including data ingestion, transformation, enrichment, and aggregation.

• Design and orchestrate data pipelines using tools like Apache NiFi (or similar), especially within containerized environments.

• Work with databases such as Postgres, Cassandra, and BigQuery, ensuring optimal data modeling and performance.

• Implement CI/CD pipelines using GitHub Actions, GitLab CI/CD, or CircleCI for automated testing and deployment of containerized applications.

• Deploy and manage applications on AWS (EC2, S3, Lambda, API Gateway, EKS).

• Apply microservices architecture using Docker and Kubernetes, ensuring scalability and resilience.

• Monitor system health and performance using tools such as Prometheus, Grafana, and ELK stack.

• Ensure application quality by collaborating with QA teams and contributing to test automation strategies.

• Participate in code reviews, ensuring clean, maintainable, and production-ready code.

• Mentor junior developers and guide them on MERN stack best practices, DevOps practices, and engineering discipline.

• Actively contribute to improving production stability through root cause analysis and preventive engineering.

• Explore and integrate AI/GenAI capabilities, including:

• AI-powered insights for loyalty platforms

• Intelligent automation of workflows

• Exposure to Agentic AI patterns (autonomous agents, orchestration, decision pipelines)

Mandatory Skills

• Bachelor’s degree in Computer Science / Engineering or equivalent practical experience.

• Proven experience as a Full Stack MERN Developer with strong hands-on skills in:

• JavaScript, TypeScript

• React

• Node.js, Express

• Component libraries such as Material UI / Ant Design

• Frameworks like Feathers.js or similar

• Strong experience with databases:

• Postgres

• Cassandra

• BigQuery

• Hands-on experience with Git for version control.

• Solid understanding of CI/CD pipelines, including GitHub Actions, GitLab CI/CD, or CircleCI.

• Experience deploying applications on AWS (EC2, S3, Lambda, API Gateway, EKS).

• Strong understanding of microservices architecture, Docker, and Kubernetes.

• Experience with monitoring and observability tools such as Prometheus, Grafana, and ELK.

• Proven expertise in data pipeline design, including:

• Apache NiFi or similar tools

• Data transformation, enrichment, and aggregation

• Orchestrating workflows in containerized environments

• Strong debugging and problem-solving skills.

• Ability to visualize end-to-end product and data flows.

• Excellent collaboration and communication skills across engineering, QA, DevOps, and support teams.

• High ownership mindset, learning agility, and ability to drive tasks to closure.

Desirable Skills

• Experience building SaaS / multi-tenant platforms.

• Exposure to AI / GenAI systems, including:

• LLM integrations

• AI-driven analytics

• Agentic AI frameworks or autonomous workflows (strong value add).

• Familiarity with event-driven architectures (Kafka or similar).

• Experience with product observability and reliability engineering.

• Knowledge of security best practices in cloud-native systems.

• Prior experience mentoring engineers in product organizations.