We are seeking a Database Engineering Manager (Individual Contributor) with deep expertise in MySQL and strong working knowledge of MongoDB, PostgreSQL, and Cassandra. This role combines hands-on database administration and optimization with strategic ownership of database reliability, automation, and cloud adoption. The candidate will lead by example—driving technical excellence, influencing best practices, and partnering cross-functionally with DevOps, SRE, and product engineering teams to deliver highly available, secure, and scalable database platforms.

1. End-to-End Ownership of MySQL databases in production & staging—availability, performance, and reliability.

2. Architect, manage, and support MongoDB, PostgreSQL, and Cassandra clusters for scale and resilience.

3. Define and enforce backup, recovery, HA, and DR strategies across all critical database platforms.

4. Drive database performance engineering—tuning queries, optimizing schemas, indexing, and partitioning for high-volume workloads.

5. Own replication, clustering, and failover architectures ensuring business continuity.

6. Champion automation & AI-driven operations—design self-healing scripts, predictive scaling, and proactive monitoring solutions. Collaborate with Cloud/DevOps teams on AWS database services (RDS, Aurora, DynamoDB, EC2, S3) to optimize cost, security, and performance.

7. Establish monitoring dashboards & alerting mechanisms for slow queries, replication lag, deadlocks, and capacity planning. Ensure compliance & security standards—encryption, auditing, and regulatory requirements.

8. Lead incident management & on-call rotations, ensuring rapid response and minimal MTTR.

9. Act as a strategic technical partner, contributing to database roadmaps, automation strategy, and adoption of AI-driven DBA practices.

1. 6–10 years of proven DBA experience with primary expertise in MySQL (InnoDB, replication, clustering).

2. Strong working experience in MongoDB, PostgreSQL, and Cassandra administration.

3. Demonstrated expertise in database performance tuning, schema design, and query optimization.

4. Deep exposure to AWS cloud database stack (RDS, Aurora, DynamoDB, S3, Backup/Restore frameworks).

5. Solid skills in Linux administration, shell scripting, and automation frameworks.

6. Familiarity with AI/ML tools for database monitoring and operational efficiency.

7. Proven ability to manage large-scale, high-availability OLTP/OLAP workloads.

8. Strong understanding of database security, encryption, and compliance frameworks.

9. Excellent problem-solving, cross-team collaboration, and communication skills.

10. Leadership mindset with the ability to mentor peers, define standards, and influence technical strategy while staying hands-on