Remote Site Reliability Engineer

Summary

Join us in finding better ways to help people believe in their digital interactions as a Site Reliability Engineer (Database) at DigiCert. We're a leading, global security authority that's disrupting our own category. Our encryption is trusted by major ecommerce brands and the world's largest companies. As a Site Reliability Engineer, you'll design, configure, and maintain DataStax Cassandra, MariaDB, MSSQL, Kafka, Elastic Search, and Redis. You'll analyze data access patterns, identify hotspots and bottlenecks, and define best practices for these technologies.

Requirements

• Bachelor’s degree in Computer Science or equivalent
• 7+ years of experience in Customer facing high SLA apps or related roles
• 5+ years of experience as Database Admin: MariaDB/MySQL, Casandra, MSSQL, Kafka, Elastic Search & Redis
• 5+ years of experience in data modeling and C/SQL scripting: MariaDB/MySQL, Casandra, MSSQL, Kafka, Elastic Search & Redis
• 1+ years of experience with Automation: SALT, Ansible, K8’s, Docker, and Jenkins
• Ability to quickly learn new technologies and business functions
• Strong analytical skills to determine effective approaches to business solutions
• Support on-call and maintenance window’s during off hours and weekends

Responsibilities

• Help design, configure, and maintain DataStax Cassandra, MariaDB, MSSQL, Kafka, Elastic Search and Redis
• Analyze data access patterns and identify hotspots and bottlenecks
• Design and review data models, and help developers plan high performing queries
• Define and establish best practices with Cassandra, MariaDB, MSSQL, Kafka, Elastic Search and Redis including configuration, monitoring health and backups of the cluster
• Manage storage capacity of cluster and plan for growth based on future project goals
• Diagnose and troubleshoot production issues and assume other responsibilities as needed
• Document design specifications, installation instructions, troubleshooting guidelines and other administration related process and procedures
• Automate data infrastructure provisioning, deployment, and maintenance processes to improve efficiency
• Monitor health & performance of data infrastructure and proactively address any issues