MongoDB Engineer (with Redis OR Kafka)

Tecnoprism; Mumbai; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Tecnoprism in Mumbai is seeking an experienced MongoDB Engineer to design schemas, optimize performance, and manage distributed databases. The role is 100% on-site in the BKC/Malad/Turbhe areas, with potential for face-to-face interviews at the Mumbai location.

You will work on sharding, replica sets, real-time data platforms, and event-driven components using Kafka or Redis. Immediate joiners only, alternate Saturdays per banking calendar, and a strong hands-on mindset are required to succeed.

Qualifications

• 3–8 years of hands-on MongoDB engineering experience.
• Strong skills in database design and performance optimization.
• Experience with distributed databases and sharding/replica sets is desirable.

Responsibilities

• Design and optimize MongoDB databases and schemas.
• Work with MongoDB sharding and replica sets.
• Perform MongoDB performance tuning and troubleshooting.
• Monitor and resolve database performance issues.
• Design and implement real-time data platforms.
• Work on Kafka-based event-driven systems and Redis caching.

Skills

MongoDB

Redis

Kafka

Database design

Performance tuning

Tools

MongoDB Sharding

Replica Sets

Job description

Experience: 3 to 8 Years
Work Mode: 100% Work From Office (BKC/Malad/Turbhe)

Interview mode : (Might be face to face at Mumbai location)
Working Days: Alternate Saturdays as per banking calendar
Industry: Banking / Financial Services

Notice period : Immediate joiners only

We are looking for an experienced MongoDB Engineer with strong hands-on experience in database design, performance optimization, and distributed database environments. Candidates with additional experience in Redis or Kafka will be preferred.

Key Responsibilities

• Design and optimize MongoDB databases and schemas
• Work with MongoDB Sharding and Replica Sets
• Perform MongoDB performance tuning and troubleshooting
• Monitor and resolve database performance issues
• Design and implement real-time data platforms
• Work on Kafka-based event-driven systems and/or Redis caching architecture
• Troubleshoot consumer lag, cache bottlenecks and database performance issues
• Ensure high availability, scalability and reliability of distributed systems