Full Stack Developer (MERN)

Comviva; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Comviva in Bengaluru is seeking a skilled Full Stack MERN Developer to design, build, and maintain scalable, cloud-native applications for MobiLytix Rewards. You'll work across UI and backend services using MongoDB/Postgres, Express, React, and Node.js, aligning with product engineering and DevOps for production stability.

You will implement CI/CD, orchestrate containers with Docker and Kubernetes on AWS, and contribute to data pipelines with NiFi.

Qualifications

• Bachelor's degree in Computer Science / Engineering or equivalent practical experience.
• Proven full stack MERN development experience with hands-on skills in JavaScript/TypeScript, React, Node.js, Express.
• Strong experience with Postgres, Cassandra, and BigQuery.
• Hands-on experience with Git and modern CI/CD pipelines (GitHub Actions, GitLab CI/CD, CircleCI).
• Experience deploying on AWS and implementing microservices with Docker and Kubernetes.
• Familiarity with data pipelines, NiFi, data transformation, and orchestration.

Responsibilities

• Design, develop, and maintain scalable full stack applications using the MERN stack.
• Collaborate with product engineering, tech ops, support, and DevOps teams.
• Build responsive UIs with React, TypeScript and component libraries.
• Develop backend services with Node.js and Express, following API-first design.
• Implement CI/CD pipelines and deploy containerized apps on AWS.
• Design and manage data pipelines and workflows with NiFi and related tools.
• Monitor system health with Prometheus, Grafana, and ELK; ensure production quality.

Skills

JavaScript

TypeScript

React

Node.js

Express

Material UI

Ant Design

Feathers.js

Postgres

Cassandra

BigQuery

Git

CI/CD

GitHub Actions

GitLab CI/CD

CircleCI

AWS

Docker

Kubernetes

Prometheus

Grafana

ELK

NiFi

APIs

Data pipelines

Education

Bachelor's degree in Computer Science / Engineering or equivalent

Tools

NiFi

AWS

GitHub Actions

GitLab CI/CD

CircleCI

Docker

Kubernetes

Prometheus

Grafana

ELK

PostgreSQL

Job description

• 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)
    

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.