Job Requirements n Senior Database Administrator (DBA II) with strong expertise in MongoDB to manage highly available, large-scale production database environments. The ideal candidate will have deep experience with MongoDB administration, performance tuning, replication, sharding, backup/recovery, security, monitoring, and automation. Experience with Amazon Aurora PostgreSQL and other distributed databases is an added advantage. What You'll Do • Manage and optimize large-scale MongoDB production clusters. • Administer Replica Sets, Sharding, Failover, Replication, and High Availability. • Perform query, index, aggregation pipeline, and database performance tuning. • Own backup, Point-in-Time Recovery, disaster recovery, and RTO/RPO processes. • Implement MongoDB security, RBAC, authentication, auditing, and access controls. • Monitor database health and performance using Grafana, Prometheus, PMM, and CloudWatch. • Troubleshoot critical production database issues and perform RCA. • Automate database operations using Terraform, SaltStack, Python/Bash scripting, and related tools. • Support other database technologies including Aurora PostgreSQL, Cassandra, ClickHouse, and Elasticsearch. What We're Looking For • 4+ years of Database Administration experience. • Strong hands-on expertise in MongoDB administration. • Experience managing large-scale production MongoDB environments. • Strong knowledge of Replica Sets, Sharding, Indexing, Query Optimization, Backup/Recovery, HA/DR, and Security. • Strong Linux troubleshooting and AWS experience. • Experience with database monitoring and automation. Good to Have • Amazon Aurora PostgreSQL/PostgreSQL. • Cassandra, ClickHouse, or Elasticsearch. • Terraform and SaltStack. • AWS DMS, Debezium, and CDC. • MongoDB-to-PostgreSQL migration experience. Key Technology Stack Primary: MongoDB Secondary: Aurora PostgreSQL Additional: Cassandra, ClickHouse, Elasticsearch Cloud: AWS Automation/Monitoring: Terraform, SaltStack, Grafana, Prometheus, PMM, CloudWatch Why Phenom? Join Phenom to build and operate large-scale, cloud-native database platforms powering millions of talent interactions while solving complex scalability, performance, and reliability challenges