Senior Database Engineer

Job summary

Operate and maintain Apache Cassandra production systems, including capacity planning, backups and recovery, replication, upgrades, repairs, compaction, and performance tuning. Design and review data models and query patterns, and respond to production incidents while collaborating with engineering teams and participating in on-call rotations and scheduled maintenance.

Job details

Role: Database Reliability Engineer - Cassandra Location: Toronto, ON Canada (Remote) Minimum Qualifications 5+ years of experience running Apache Cassandra in large-scale production or SaaS environments. Solid understanding of distributed database systems internals, including replication and consistency levels, partitioning and token distribution, compaction, tombstones, and the read and write paths. Demonstrated production Apache Cassandra experience with: • Capacity planning. • Backup and recovery. • Replication, multi-datacenter topologies, and high availability. • Major-version upgrades. • Repair, compaction, and performance tuning. • Data modeling and partition key design, and reviewing query patterns for production impact. • Incident response and root-cause analysis for customer-facing production systems. Experience working with cross-functional engineering teams. Ability to participate in on-call rotations and scheduled maintenance windows. Fluency in English, both oral and written. Preferred Qualifications Experience with: • Operating Apache Cassandra at scale. • Designing data models that avoid hotspots and unbounded partitions for • high-volume workloads. • Zero- or near-zero-downtime operations on production clusters, including node replacement, scaling, and cross-cluster migrations. • Zero- or near-zero-downtime major-version upgrades of Apache Cassandra. • Running Apache Cassandra in Kubernetes or other containerized environments. • Amazon Keyspaces (managed Apache Cassandra), including data modeling, capacity configuration, and how it differs from running Cassandra yourself. • Amazon Aurora (managed PostgreSQL), including data modeling, capacity configuration, and how it differs from running PostgreSQL yourself. • YugabyteDB. • Linux OS fundamentals. • CI/CD and GitOps tools such as Jenkins and ArgoCD. • Infrastructure-as-code and configuration management using Ansible. • Building automation, tooling, or services used in production using Python. • Observability platforms such as Prometheus, Grafana, Loki, or OpenTelemetry.

What you’ll do

Operate and maintain Apache Cassandra production systems, including capacity planning, backups and recovery, replication, upgrades, repairs, compaction, and performance tuning. Design and review data models and query patterns, and respond to production incidents while collaborating with engineering teams and participating in on-call rotations and scheduled maintenance.

Requirements

Requires at least five years of experience operating Apache Cassandra in large-scale production or SaaS environments, along with a strong understanding of distributed database internals. Candidates must have hands-on experience with production operations and incident response, be able to work across engineering teams and on-call rotations, and be fluent in written and spoken English.

Listed skills

• Root Cause Analysis · Preferred
• Python · Preferred
• Kubernetes · Preferred
• Linux · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Apache Cassandra
• Distributed Database Systems
• Capacity Planning
• Backup And Recovery
• Replication And High Availability
• Multi-Datacenter Topologies
• Database Upgrades
• Repair And Compaction
• Performance Tuning
• Data Modeling
• Partition Key Design
• Incident Response
• Root-Cause Analysis
• Python
• Kubernetes
• Linux

Job areas

• Technology
• Software
• Data & Analytics
• Engineering

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