Database Reliability Engineer/Database Engineer (Rubrik Security Cloud Platform)

About the Role

We are seeking an experienced Database Reliability Engineer to own the reliability, performance, and scalability of our end-to-end database infrastructure. You will manage both our low-latency transactional engines and our real-time analytical/lakehouse storage systems. You will bridge systems engineering, database internals, and automation to maintain rock-solid data integrity, low query latency, and high availability across the entire data lifecycle.

What you'll do

• Performance & Query Optimization: Diagnose and resolve latency regressions, lock/latch contention, index strategies, and memory/disk bottlenecks across both row-oriented and columnar engines.
• Disaster Recovery & Data Integrity: Ensure strict RTO/RPO adherence, automated backup validation, PITR (point-in-time recovery), and data consistency across transactional and analytical stores.
• Storage Optimization & Compaction: Manage compaction policies, partition strategies, file sizing, and storage tiering to minimize storage costs and read amplification.
• Transactional Reliability & Operations: Manage HA, automated failover, replication topology, and zero-downtime maintenance for production RDBMS clusters.
• Analytical Storage Infrastructure: Maintain, scale, and optimize real-time analytical engines (ClickHouse) and lakehouse formats/engines (Apache Iceberg, BigQuery).
• Infrastructure as Code & Observability: Build declarative automation for cluster provisioning, schema migrations, and metric alerting (Prometheus, PromQL, Grafana)

Experience you'll need

• Database Internals & RDBMS Fundamentals:
  • Deep understanding of ACID guarantees, WAL, checkpointing, and recovery mechanics (e.g., ARIES-style recovery).
  • Comprehensive grasp of concurrency control, transaction isolation levels, lock protocols (2PL, deadlocks), and MVCC architectures.
  • Deep knowledge of storage structures: B+ Trees, LSM-Trees, and columnar storage layouts (e.g., Parquet, ORC, ClickHouse Wide/Compact formats).
• Operational Database Experience:
  • 4+ years running production database infrastructure, with deep expertise in [PostgreSQL / MySQL].
  • Experience optimizing and managing cost/quotas in Google Cloud BigQuery (partitioning, clustering, reservation slots).
  • Experience with OLAP DB like: ClickHouse, BQ
• Systems & Kernel Engineering:
  • Strong Linux fundamentals: I/O subsystems, page cache vs. engine buffer pools, disk alignment, asynchronous I/O, and memory management.
  • Automation & Software Engineering:
  • Using  Python or Go for building database automation, operators, and CLI tooling.
  • Experience with Infrastructure as Code (Terraform) and container orchestration.

Preferred skills and qualifications

• Hands-on administration and performance tuning of ClickHouse (cluster topologies, ZooKeeper/Keeper coordination, MergeTree engine family, mutations, and compaction).
• Experience with change data capture (CDC) pipelines (e.g., Debezium, Kafka) feeding transactional updates into ClickHouse/Iceberg.
• Experience managing lakehouse storage patterns using Apache Iceberg (metadata management, snapshot expiration, file compaction/orphan cleanup).
• Experience with automated schema migration tools (e.g., gh-ost, Liquibase, Bytebase).
• Familiarity with distributed consensus engines ( ClickHouse Keeper,Raft, Paxos).

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