Cassandra DBA / Engineer

GBIT (Global Bridge InfoTech Inc); Phoenix (AZ); In loco; USD 120.000 - 160.000; Tempo pieno

Descrizione del lavoro

GBIT (Global Bridge InfoTech Inc) in Phoenix seeks a senior Cassandra engineer to design, deploy, and scale enterprise Cassandra clusters, ensuring high availability for mission-critical applications.

You will optimize read/write performance, manage node lifecycles, implement backup/recovery plans, and collaborate with cross-functional teams to meet SLAs and drive reliability across multi‑data‑center deployments.

Competenze

• Bachelor's degree in CS/CE/IT or related field.
• 5+ years in database engineering, development, or administration.
• Strong hands-on Cassandra administration in enterprise production environments.
• Experience with highly available, scalable Cassandra clusters.
• Ability to design topology, capacity planning, and expansion.

Mansioni

• Design, deploy, and maintain Cassandra clusters for enterprise apps.
• Manage Cassandra and NoSQL databases for stability and performance.
• Tune read/write performance, caching, and compaction strategies.
• Perform cluster expansions, upgrades, and node lifecycle tasks.
• Implement backup, restore, and DR procedures for Cassandra.
• Collaborate with devs and ops to ensure reliability.

Conoscenze

Cassandra architecture

Multi-DC deployments

Cluster management

Performance tuning

JVM tuning

Shell scripting

Python

Java

Go

Node management

Backup & recovery

Monitoring & troubleshooting

Formazione

Bachelor's degree in CS/CE/IT

Strumenti

nodetool

Cassandra backup tools

Descrizione del lavoro

• Design, develop, configure, and maintain enterprise-grade highly available and scalable Cassandra clusters supporting business-critical applications and services.
• Manage and administer Cassandra and other NoSQL/open-source database platforms to ensure stability, availability, reliability, and optimal performance.
• Demonstrate strong understanding of Cassandra architecture, replication strategies, consistency levels, partitioning, data modeling, token distribution, and multi-data-center deployments.
• Design Cassandra cluster topology and perform capacity planning based on application workloads, scalability, availability, and performance requirements.
• Perform Cassandra performance analysis and tuning to optimize read/write performance, throughput, and latency.
• Tune Cassandra compaction strategies, caching, consistency levels, tombstones, SSTables, and database configuration parameters.
• Identify and resolve hot partitions, slow queries, high latency, and database or infrastructure resource bottlenecks.
• Manage Cassandra cluster lifecycle activities including installations, upgrades, migrations, patching, capacity expansion, and configuration changes.
• Add, replace, remove, and safely decommission Cassandra nodes while maintaining cluster availability and data integrity.
• Perform cluster expansion and capacity upgrades with minimal production impact.
• Manage token distribution, node bootstrap and streaming, repair, cleanup, and cluster rebalancing activities.
• Implement and maintain Cassandra backup and restore strategies, including snapshots and incremental backups.
• Support point-in-time recovery where supported by the organization's backup solution and conduct recovery testing.
• Develop and support disaster‑recovery procedures and ensure Cassandra environments meet availability and business continuity requirements.
• Tune Cassandra JVM heap, garbage collection, memory, and related configuration settings.
• Troubleshoot JVM and system‑level issues including GC pauses, heap pressure, CPU utilization, disk I/O, memory, and storage performance.
• Tune Linux/OS and storage configurations to support Cassandra database workloads.
• Monitor Cassandra cluster health, availability, latency, throughput, disk usage, compactions, dropped messages, GC activity, repairs, and overall capacity.
• Troubleshoot complex production issues including node failures, high latency, timeouts, replica inconsistencies, capacity problems, and cluster instability.
• Use nodetool, Cassandra logs, metrics, tracing, and monitoring/alerting platforms to diagnose and resolve database issues.
• Proactively identify opportunities for performance optimization, scalability improvements, reliability, and operational efficiency.
• Develop and implement database automation solutions to streamline administration, deployment, maintenance, monitoring, and operational processes.
• Develop scripts, utilities, and engineering tools using technologies such as Python, Shell Scripting, Java, or Go.
• Automate database administration and infrastructure processes using Ansible and other automation frameworks.
• Collaborate with architecture and business teams to translate data requirements into effective conceptual, logical, and physical data models.
• Support distributed and highly available database environments while ensuring reliability, resiliency, and fault tolerance.
• Work closely with application development, infrastructure, platform engineering, and support teams to ensure seamless integration of Cassandra database services.
• Contribute to database standards, governance practices, operational procedures, and engineering best practices.
• Implement monitoring, alerting, and observability solutions to improve visibility into database health and performance.
• Participate in cloud adoption initiatives and support Cassandra database workloads across modern cloud platforms.
• Contribute to CI/CD initiatives and help integrate database deployment and operational processes into automated delivery pipelines.
• Support Agile delivery teams by participating in sprint planning, technical reviews, deployments, production support, and continuous improvement activities.

Required Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline; advanced degree preferred.
• 5+ years of professional experience in database engineering, database development, or database administration.
• Strong hands‑on experience with Cassandra database administration and engineering in enterprise production environments.
• Strong understanding of Cassandra architecture, replication, consistency levels, partitioning, data modeling, token distribution, and multi-DC deployments.
• Experience designing and managing highly available, scalable, and fault‑tolerant Cassandra clusters.
• Hands‑on experience with Cassandra node management, including node addition, replacement, removal, decommissioning, bootstrap, streaming, repair, cleanup, and cluster rebalancing.
• Experience with Cassandra capacity planning, cluster topology design, expansion, and infrastructure upgrades.
• Strong experience with Cassandra performance analysis and tuning, including:
• Read/write performance and latency
• Compaction
• Caching
• Consistency levels
• Tombstones
• SSTables
• Experience managing operational activities such as:
• Database upgrades and migrations
• Patch management
• Capacity planning and expansion
• Backup and recovery
• Performance analysis and tuning
• High availability and disaster recovery implementations
• Strong knowledge of Cassandra backup and recovery, including snapshots, incremental backups, restore procedures, and recovery testing.
• Strong understanding of JVM heap, garbage collection, memory management, CPU utilization, disk I/O, Linux/OS, and storage tuning.
• Strong hands‑on experience troubleshooting Cassandra production environments using nodetool, Cassandra logs, metrics, tracing, and monitoring tools.
• Strong understanding of database architecture, storage concepts, indexing strategies, replication mechanisms, and query optimization.
• Experience creating and maintaining conceptual, logical, and physical data models.
• Ability to collaborate effectively with development, infrastructure, architecture, and production support teams.
• Experience supporting distributed systems and multi‑tier application environments.
• Proficiency in one or more programming or scripting languages such as:
• Python
• Shell Scripting
• Java
• Go
• Understanding of API‑driven architectures and modern application integration patterns.
• Familiarity with Agile methodologies and software delivery practices.
• Experience working with Continuous Integration and Continuous Delivery pipelines.
• Strong troubleshooting, analytical, and problem‑solving capabilities.
• Excellent verbal and written communication skills.