We have an exciting opportunity for a Database Reliability Engineer with the top leading multimedia and creative software company in the world.
Responsibilities:
- Work on reliability and performance aspects for core database infrastructures that allow Adobe 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.
Skills and Experience:
- 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 language (Python /Perl/ Ruby).
Compensation:
33955868
