Comviva in Bengaluru is seeking a Full Stack Developer to design and develop applications using the MERN stack. You will collaborate closely with product engineering to implement business requirements, develop responsive user interfaces using React and TypeScript, and follow best practices in API design and microservices architecture. Candidates should hold a Bachelor’s degree in Computer Science/Engineering and demonstrate expertise in JavaScript, Node.js, AWS, and CI/CD processes. This role offers the opportunity to work on innovative technologies including AI features.
Qualifications
Proven experience as a Full Stack MERN Developer with strong hands-on skills.
Solid understanding of CI/CD pipelines.
Proven expertise in data pipeline design.
Responsibilities
Design, develop, and maintain full-stack applications using the MERN stack.
Build responsive user interfaces with React and TypeScript.
Develop backend services following microservices design principles.
Skills
JavaScript
TypeScript
React
Node.js
Express
Material UI
Ant Design
Postgres
Cassandra
BigQuery
Docker
Kubernetes
Git
AWS
Prometheus
Grafana
ELK
Education
Bachelor’s degree in Computer Science / Engineering
Job description
Key Accountabilities
Design, develop, and maintain scalable full stack applications for MobiLytix Suite, 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.