Cassandra Engineer

What You’ll Do 

• Execute installation, configuration, and deployment of DSE/Cassandra nodes in multi-data center environments 
• Perform DSE Cluster & Apache Cassandra Cluster Administration tasks 
• Configure and fine tune clusters for optimal performance (replication strategies, partitioning, consistency levels, compaction settings) 
• Perform and support Datastax (DSE) / Apache Cassandra patch upgrades and major/minor version upgrades with minimal downtime 
• Support the NoSQL DB platform during infrastructure activities (OS upgrades, hardware upgrades, compliance-related fixes) 
• Perform routine maintenance tasks and automate operations using scripting languages (Python, Bash) and configuration management tools (Ansible) 
• Set up monitoring tools and dashboards for cluster health visibility 
• Monitor and maintain existing multi-data center DSE/Cassandra clusters to ensure high availability and performance 
• Develop scripts for automated monitoring, alerting, and maintenance activities  
• Provide on-call support for critical DSE/Cassandra cluster issues 
• Analyze and optimize cluster performance, identify bottlenecks, and implement performance tuning 
• Support respective consumers of DSE/Cassandra clusters in their sprint cycles and production releases 

What We’re Looking For

• 3+ years of hands-on experience with NoSQL databases, specifically Cassandra/Datastax DSE 
• Expert-level understanding of Datastax Enterprise (DSE)/Cassandra architecture, data replication strategies, consistency levels, compaction strategies etc 
• Proficiency in DSE Cassandra cluster administration, management, and configuration 
• Experience with Datastax Enterprise (DSE)/Cassandra patch upgrades and major/minor version upgrades 
• Advanced performance tuning and optimization capabilities 
• Experience with monitoring and logging tools 
• Skilled in Linux/Unix environments and shell scripting 
• Self-motivated and highly dependable 

Preferred Qualifications  

• Experience with DSE Search (Solr) and DSE Analytics (Spark) workloads 
• Exposure to Apache Solr and Apache Spark technologies 
• Experience with cloud environments (AWS) and cloud-native services 
• Exposure to AWS Database Services (Aurora, DocumentDB, DynamoDB, Amazon Keyspaces etc) 
• Proficiency in scripting languages (Python, Bash) 
• Familiarity with automation tools such as Ansible 
• Cassandra data modeling expertise and CQL proficiency