Lead Engineer

Confidential

5 years

0 Lacs

india

Posted:1 day ago| Platform:

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Skills Required

software development architecture design node.js mongodb elasticsearch indexing sharding query vue.js react angular data processing kafka rabbitmq autoscaling database strategies collaboration devops vision security code drive engineering leadership scalability scaling microservices aws gcp git debugging communication

Work Mode

On-site

Job Type

Full Time

Job Description

Responsibilities:

Lead & Mentor: Guide a team of developers, ensuring best practices in software development, clean architecture, and performance optimisation.
Architect & Scale: Design and build highly scalable and reliable backend services using Node.js, MongoDB, and ElasticSearch, ensuring optimal indexing, sharding, and query performance.
Frontend Development: Develop and optimise 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, RabbitMQ, or ActiveMQ.
Optimise Performance: Implement autoscaling, database sharding, and indexing strategies to efficiently handle millions of transactions.
Cross-Functional Collaboration: Work closely with Product Managers, Data Engineers, and DevOps teams to align on vision, execution, and business goals.
Quality & Security: Implement secure, maintainable, and scalable codebases while adhering to industry best practices.
Code Reviews & Standards: Drive high engineering standards, perform code reviews, and enforce best practices across the development team.
Ownership & Delivery: Manage timelines, oversee deployments, and ensure smooth product releases with minimal downtime.

Requirements:

5+ years of hands-on software development experience with at least 2+ years in a leadership role.
Strong proficiency in Node.js, Vue.js (or React/Angular), MongoDB, and Elasticsearch.
Experience in real-time data processing, message queues (Kafka, RabbitMQ, or ActiveMQ), 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 optimisation.
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.

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