Adobe’s Database Reliability Engineering (DBRE) team has an exciting and challenging mission: Build, deploy, operate, scale, and maintain database systems for customers facing Adobe SaaS solutions used by millions of users worldwide. We are seeking an experienced DBRE to join us in building database services that will help define the future of Creative Cloud and Adobe’s Digital Media business.

What you’ll Do

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.
Partner with Engineering teams and database vendors on roadmap planning and architectural discussions to ensure we have architectures in place to scale for the future
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
Participate in a cross-regional on-call rotation using follow-the-sun model.

What you need to succeed

Bachelor’s degree in computer science or related technical field
At least 8 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, Ansible, Puppet, 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)”. Now act like an expert interviewer and give me all possible questions that I can expect and answers too. Give me the most purposeful and accurate questions and answers, and rate your confidence in each of the responses. I want the responses to be super detailed. Answer the question with examples related to MongoDB and Cassandra. Remember, the responses should be very eloberated and clear. Also very accurate.