Fullstack Engineer - III

We're looking for a Seasoned Full Stack Engineer (Node.js and Vue.js) to drive technical excellence, lead a team of high-caliber engineers, and build next-generation CRM marketing solutions.

• Mentor:
  Guide a team of developers, ensuring best practices in software development, clean architecture, and performance optimization
• Architect and Scale:
  Design and build highly scalable and reliable backend services using Node.js, Mongo
  
  DB, and Elastic Search, ensuring optimal indexing, sharding, and query performance
• Frontend Development:
  Develop and optimize user interfaces using Vue.js (or React/Angular) for an exceptional customer experience
• Event-Driven Systems:
  Design and implement real-time data processing pipelines using Kafka, Rabbit
  
  MQ, or ActiveMQ
• Optimize Performance:
  Work on autoscaling, database sharding, and indexing strategies to handle millions of transactions efficiently.
• Cross-Functional Collaboration:
  
  Work closely with Product Managers, Data Engineers, and Dev Ops teams to align on vision, execution, and business goals
• Quality and Security:
  Implement secure, maintainable, and scalable codebases while adhering to industry best practices
• Code Reviews and Standards:
  Drive high engineering standards, perform code reviews, and enforce best practices across the development team
• Ownership and Delivery:
  Manage timelines, oversee deployments, and ensure smooth product releases with minimal downtime

• 5+ years of hands‑on software development experience.
• Strong proficiency in Node.js, Vue.js (or React/Angular), Mongo
  
  DB, and Elasticsearch.
• Experience in real‑time data processing, message queues (Kafka, Rabbit
  
  MQ, or Active
  
  MQ), and event‑driven architectures.
• Scalability expertise:
  Proven track record of scaling services to 200k+ MAUs and handling high‑throughput systems.
• Strong understanding of database sharding, indexing, and performance optimization.
• Experience with distributed systems, microservices, and cloud infrastructures (AWS, GCP, or Azure).
• Proficiency in CI/CD pipelines, Git version control, and automated testing.
• Strong problem‑solving, analytical, and debugging skills.
• Excellent communication and leadership abilities able to guide engineers while collaborating with stakeholders.

• Experience with big data technologies like Apache Flink, Spark, Hadoop, or Data Lakes.
• Familiarity with real‑time analytics, data ingestion pipelines, and large‑scale event processing systems.
• Previous experience in CRM or SaaS environments.