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Technical Leader (I5)

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Onsite

Technical Leader (I5)

Comviva Technology

Technical Leader (I5)

Skills

MongoDBDockerReactNodeTypescriptJavaTesting & QAMicroservicesExpressSpring BootPostgreSQLAmazon EC2AWS LambdaCassandraKafkaGitGitLabGrafanaData AnalysisAIAWSPrometheusCircleCIGitHubKubernetesELK StackJavascript

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

14 September 2026

What they need


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 Java, springframework,Spring boot and micro services.

  • 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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