Database Reliability Engineer

Role: • As part of Database team, you will be responsible for managing and optimizing our large-scale database infrastructure to ensure the stability, data reliability, integrity, security, and performance of all company services. • You will handle database provisioning, performance tuning, high availability, backup/recovery strategies, designing scalable database architectures, access control, and incident troubleshooting to keep our data systems healthy 24/7 • Our Systems handle high volumes of transactions and terabytes of data across PostgreSQL, MySQL, MongoDB, ClickHouse, ScyllaDB, and more. What You'll Do: • Design, implement, and optimize database schemas, indexes, and queries to improve performance, scalability, and reliability. • Automate provisioning, configuration, access control, and schema deployment using Ansible, Terraform, and Git. • Monitor database performance metrics, proactively identify bottlenecks, and troubleshoot incidents to ensure system stability and minimize downtime. • Collaborate closely with Developers, DevOps, and infrastructure teams to align database changes with application requirements and optimize SQL queries and access patterns. • Review and automate database changes execution, deployment processes, user creation, and system permissions. • Implement and manage backup, recovery, replication, and disaster recovery strategies. • Proposing cost-effective solutions. • Set up and manage database partitioning and indexing strategies to efficiently handle large data volumes. • Conduct regular security audits, patching, and compliance assessments to maintain database security and integrity. • Automate routine DBA tasks and implement monitoring solutions to ensure database health and availability. • Support Change Data Capture (CDC) pipelines using Kafka Connect or similar tools. • Apply Infrastructure-as-Code and CI/CD practices for version-controlled database configurations. • Participate in on-call rotations and promptly respond to database-related emergencies outside business hours. • Document database configurations, procedures, and troubleshooting guidelines for knowledge sharing and compliance.

• 3+ years operating *nix systems in production (CentOS, Rocky, Ubuntu, Debian). • 3+ years managing databases in large-scale environments. • Expertise in at least one major RDBMS (PostgreSQL or MySQL) • Deep understanding of internals - storage engines, indexing, replication, and transactions. • Proven skills in performance tuning and capacity planning. • Familiarity with high-availability, scaling, and Kubernetes-based deployments. • Experience with observability tools (Prometheus, Grafana). • Exposure to CDC, Terraform/Ansible, and Git-based CI/CD workflows. • Understanding of networking fundamentals (TCP/IP, routing, firewalls). • Strong troubleshooting & problem-solving mindset; open and collaborative. • Available for off-hour support when needed.