Senior Database Administrator

Mobikwik is India's leading Digital Financial Services platform & Largest Digital Wallet, trusted by over 167 million users & 4.4 million businesses. As a pioneer in the Fintech space, Mobikwik empowers its users with a robust suite of services, including Digital payments, Credit & Investments. Recently, Mobikwik achieved a significant milestone with its Initial Public Offering (IPO), marking a new chapter in its journey of innovation & growth.

With a mission to democratize financial inclusion, Mobikwik continues to transform how Indians manage their money, offering secure, seamless & user-friendly solutions that cater to a diverse range of
financial needs.

Role:
Senior Database Administrator

Job Location:

Gurgaon (WFO

Responsibilities:

• Own end-to-end performance, availability, scalability, and security of MySQL/Aurora database systems.

• Perform advanced MySQL query optimization, slow query analysis, indexing strategy, schema review, and tuning for high
volume OLTP workloads.

• Drive MySQL upgrades, migrations, performance benchmarking, and version improvements.

• Deep dive into performance bottlenecks involving query execution plans, locks, replication lag, buffer tuning, and storage
engine analysis.

• Manage and optimize Mongo

DB (sharding, replica sets, indexes, schema planning, lifecycle management).

• Implement and manage partitioning, sharding, data lifecycle management, and archival strategies.

• Troubleshoot production issues quickly and provide long-term fixes to improve reliability.

• Collaborate closely with engineering teams, providing guidance on schema design, query best practices, and
databasefriendly architectures.

• Automate monitoring, alerting, backup, and recovery workflows.

• Contribute to scaling strategies, capacity planning, and infrastructure improvements for large-scale production systems.
Requirements:

• Years of

Experience:

2 - 5 years

• Strong hands-on experience with MySQL (MySQL/Aurora).

• Strong knowledge of Mongo

DB (sharding, replica sets, indexes, schema design).

• Experience handling high volume OLTP workloads.

• Knowledge of partitioning, sharding & data lifecycle management.

• Ability to troubleshoot production issues quickly

• Ownership mindset & ability to work with engineering teams.

• Preferred
- Knowledge of Kafka / Redis / Elasticsearch