Database Reliability Engineer
JOB TITLE: Database Reliability Engineer (LOA Coverage)
LOCATION: San, Jose, CA - Hybrid
PAY RANGE: $77-$88/hr
DURATION: 2 months
TOP SKILLS:
Proficiency in any of the scripting (Python /Perl/ Ruby)
Proficiency in at least two of the following open-source database management systems:
MongoDB, Cassandra, MySQL, Percona XtraDB Cluster, MariaDB Galera Cluster, PostgreSQL
Experience working with hyper-scale cloud providers (AWS and/or Azure, GCP) and running at scale database environments on virtual computing environments (Amazon EC2, Azure VM)
Experience with Cloud database technologies such as AWS RDS, AWS Keyspaces, Azure SQL/CosmosDB, MongoDB Atlas, and Datastax Astra.
COMPANY:
Our client a Fortune 500 Software Organization is seeking a Database Reliability Engineer (LOA Coverage) to bring onto the team.
Duties:
Work on reliability and performance aspects for core database infrastructures that allow products to scale.
Ensure the highest level of uptime and Quality of Service (QoS) for critical database environments through operational excellence.
Implement solutions for automating deployment, provisioning and managing large-scale database environments.
Improve observability by implementing smart monitoring, tracing, and logging.
Act as main point of contact for production incidents, perform root cause analysis, identify, and resolve underlying problem patterns, while working towards developing automated and self-healing solutions
Skills:
Bachelor's degree in computer science or related technical field
At least 7 years relevant production experience in supporting at scale, highly available, mission-critical database environments. Deep understanding in all areas such as database backups, replication, security, DevOps for databases (IaC, CI/CD), observability, and disaster recovery.
Proficiency in at least two of the following open-source database management systems: MongoDB, Cassandra, MySQL, Percona XtraDB Cluster, MariaDB Galera Cluster, PostgreSQL
Experience working with hyper-scale cloud providers (AWS and/or Azure, GCP) and running at scale database environments on virtual computing environments (Amazon EC2, Azure VM)
Experience with Cloud database technologies such as AWS RDS, AWS Keyspaces, Azure SQL/CosmosDB, MongoDB Atlas, and Datastax Astra.
Database migration experience
Experience with infrastructure automation and configuration management tools such as Chef, Terraform
Deep understanding of cluster management areas, such as scaling, consistency tuning, replication, and multi-datacenter configuration
Experience in performance monitoring, storage performance optimization, tuning database server configurations, queries, and indexes
Strong data modeling and data structure design skills
Exposure to containerization platforms (Kubernetes/Docker)
Good understanding of Linux OS concepts
Proficiency in any of the scripting (Python /Perl/ Ruby)
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