Description : Looking for Manager-Database Reliability Engineering Manager (DBRE) for a product based company in Bangalore

Key Responsibilities :

- Team Leadership & Strategy : Build, mentor, and lead a high-performing Database Reliability Engineering team, fostering a culture of technical excellence, ownership, and collaboration.

- Database Operations & Reliability : Oversee the reliability, performance, availability, and scalability of MongoDB, MySQL, and Elasticsearch across multiple environments and regions.

- Automation & Engineering : Architect and drive automation for database provisioning, scaling, backups, upgrades, patching, and recovery using Go or Python. Establish standards for Infrastructure as Code and self-service database management.

- Monitoring & Incident Response : Implement and enhance automated monitoring, alerting, performance tuning, and self-healing solutions. Lead major incident response, postmortems, and continuous improvement.

- Collaboration : Partner with SRE, CloudOps, Security, and development teams to understand requirements, drive database reliability improvements, and support feature launches.

- Best Practices & Documentation : Define and enforce database reliability best practices, documentation, runbooks, and automation guides. Promote DBRE standards and knowledge sharing.

- Capacity & Cost Management : Monitor capacity, forecast growth, and work with engineering and product teams on cost-effective database scaling.

- Security & Compliance : Ensure security, compliance, and data protection in all database operations and automation solutions.

Required Qualifications :

- Bachelor's or masters in computer science, Engineering, or equivalent practical experience.

- 8+ years of experience in database engineering, DBRE, or SRE roles, with at least 3+ years in a technical/team leadership or management position.

- Deep hands-on experience managing and automating MongoDB, MySQL, and Elasticsearch (good to have).

- Strong programming skills in Go or Python for database automation and tooling.

- Proven ability to design and implement automation for database lifecycle operations, monitoring, and self-healing.

- Expertise in building, running, and scaling highly available database clusters (replication, sharding, backup/restore, performance tuning).

- Strong knowledge of database security, access controls, patching, and compliance practices.

- Excellent communication, incident leadership, and cross-functional collaboration skills.

- Track record of hiring, mentoring, and developing technical talent.