Job Title: Database Reliability Engineer

Location: San Jose, CA 95110 (100% onsite) - Local Candidates only

Duration: 3 months

Contract Type: **W2 only**

Pay Rate: $88.02/Hour

Duties:

• Work on reliability and performance aspects for core database infrastructures that allow client’s products to scale.
• Ensure the highest level of uptime and Quality of Service (QoS) for client’s 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 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.
• Experience working with AWS cloud running at scale database environments on virtual computing environments (Amazon EC2)
• Proficiency in the following open-source database management systems: MySQL, MongoDB, Cassandra, and PostgreSQL
• Experience with Cloud database technologies such as AWS RDS, AWS Keyspaces
• Experience with infrastructure automation and configuration management tools such as Chef, Terraform
• Experience in performance monitoring, storage performance optimization, tuning database server configurations, queries, and indexes
• Exposure to containerization platforms (Kubernetes/Docker)
• Good understanding of Linux OS concepts
• Proficiency in any of the scripting language (Python /Perl/ Ruby)

Education:

• Bachelor's degree in computer science or related technical field
• At least 7 years relevant production experience in supporting at scale, highly available database environments.