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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Equal Opportunity Employer/Veterans/Disabled

Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other status protected by applicable law. Rubrik provides equal employment opportunities to employees and applicants in all terms and conditions of employment, including recruiting, hiring, promotion, compensation, training, leave, and termination.