Role Overview
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 exampledriving 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.
Key Responsibilities
1. End-to-End Ownership of MySQL databases in production & stagingavailability 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 engineeringtuning 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 operationsdesign 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 standardsencryption 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
Required Skills & Experience
1. 610 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. Leadership mindset with the ability to mentor peers define standards and influence technical strategy while staying hands-on