Database Reliability Engineer
Salary undisclosed
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Database Reliability Engineer
Remote for someone who is in PST only
2 Months of Project with very high possiblity to extend for more 3 months
Qualifications:
#INDIT
Remote for someone who is in PST only
2 Months of Project with very high possiblity to extend for more 3 months
Job Summary
- 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 Adobe 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 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
Qualifications:
- Bachelor's degree in computer science or related technical field
- At least 5 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, Google Cloud Platform) 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 language (Python /Perl/ Ruby)
#INDIT
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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