MongoDB DBA
About Poshmark
Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.
We're looking for a hands-on MongoDB SRE to join our Cloud Infrastructure Engineering team. You'll own the reliability of our MongoDB clusters, work closely with application teams on performance, and help drive automation and observability improvements.
What You'll Do
- Monitor and maintain MongoDB replica sets in production — health, performance, capacity, and change management
- Triage slow queries, analyze explain() plans, and recommend index strategies to application teams
- Implement and validate backup/restore procedures; monitor recovery posture against defined RTO/RPO targets
- Respond to database incidents, contribute to postmortems, and follow through on action items
- Build alerting rules, runbooks, and escalation paths for owned clusters
- Write automation scripts and contribute to IaC modules for database configuration
- Own MongoDB observability — dashboards, exporters, and custom metrics
- Participate in schema and query design reviews with engineering teams
- Conduct DR drills — simulate failovers, node failures, and recovery scenarios
- Mentor junior engineers through pairing, code reviews, and knowledge sharing
What We're Looking For
Must-Have
- 3+ years of hands-on MongoDB experience in production environments
- Working knowledge of replica sets — elections, oplog, read/write concerns
- Ability to read and act on explain() output and slow query logs
- MongoDB Associate DBA Certification (or equivalent demonstrated experience)
- Scripting proficiency in Python or Bash
- Comfortable on Linux — log analysis, disk/memory/process inspection
- Experience on-call for database infrastructure independently
Good to Have
- Exposure to sharded clusters — shard key selection, chunk migrations
- MongoDB Atlas experience
- Kubernetes basics (MongoDB Operator)
- Experience with Redis or OpenSearch in a production environment
- Cloud platform experience (AWS, GCP, or Azure)
Preferred Qualifications
- B.Tech/B.E. in CS or equivalent practical experience
- Background in a high-traffic SaaS or cloud-native company
- MongoDB Professional DBA Certification is a strong plus