Detailed Job Description for Lead Backend Engineer (MongoDB / NoSQL):

• We are looking for a highly skilled Lead Backend Engineer with strong expertise in NoSQL databases, specifically MongoDB, to design, develop, and lead scalable backend systems.

• The ideal candidate should have hands-on experience in backend development, distributed systems, and modern data architectures, with a focus on building high-performance, data-intensive applications.

Key Responsibilities:

• Design, develop, and maintain scalable and high-performance backend services using modern architectures

• Lead backend development efforts and mentor junior developers

• Design and implement NoSQL data models using MongoDB (collections, documents, indexing strategies)

• Optimize MongoDB queries, aggregations, and performance tuning for large-scale applications

• Build and maintain RESTful APIs and microservices-based systems

• Ensure efficient handling of unstructured and semi-structured data

• Collaborate with frontend, DevOps, and product teams for seamless delivery

• Improve system performance, reliability, scalability, and fault tolerance

• Handle production issues, debugging, and root cause analysis

• Implement security, data consistency, and data protection best practices

• Drive technical discussions, architecture decisions, and database strategy (SQL vs NoSQL where applicable)

Required Skills:

• Strong experience in backend development using Node.js / Java / Python (any one or more)

• Deep expertise in MongoDB including:

• Data modeling (embedding vs referencing)

• Aggregation framework

• Indexing and performance tuning

• Strong understanding of NoSQL database concepts (schema-less design, horizontal scaling, CAP theorem basics)

• Experience in designing RESTful APIs and microservices architecture

• Good understanding of distributed systems and scalable architectures

• Familiarity with cloud platforms (AWS / Azure / GCP)

• Experience with version control tools like Git

• Strong problem-solving and analytical skills

• Experience with CI/CD pipelines and DevOps practices

Preferred Skills:

• Experience with containerization tools like Docker and Kubernetes

• Knowledge of caching mechanisms (Redis, Memcached)

• Exposure to message queues (Kafka, RabbitMQ)

• Experience handling high-volume data systems using NoSQL databases

• Experience in Agile/Scrum environments

• Prior experience in leading a team or handling modules independently