MongoDB Administrator (REMOTE)
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A global AI infrastructure company is looking for a MongoDB Administrator who has actually operated at scale. Not managed a few replica sets. Built and operated multi-node sharded clusters handling billions of documents, supporting distributed systems and machine learning infrastructure.Pave Talent is hiring on behalf of our client, a well-funded, globally recognized leader in AI development with 500 to 1,000 employees. This company powers some of the world's most advanced large language models and generative AI systems. Their data infrastructure supports mission-critical workloads for enterprise clients, U.S. government agencies, and major technology companies. The engineering bar is high and the systems are real.โ ๐ง๐๐ ๐ข๐ฃ๐ฃ๐ข๐ฅ๐ง๐จ๐ก๐๐๐ฌYou will join the database engineering team and own MongoDB platform operations end to end. This means building and maturing the database foundation, working directly with engineering teams on backend data architecture, and partnering with the security team on compliance and hardening. You will not be a ticket-taker. You will be the person engineering teams call when data scale becomes a problem.The role is fully remote. You should expect to work Pacific Standard Time hours, Monday through Friday.โ ๐ช๐๐๐ง ๐ฌ๐ข๐จ'๐๐ ๐๐จ๐๐๐โข Design, install, and configure multi-node MongoDB sharded clusters and replica sets running on AWS EC2โข Add and remove replica and shard nodes as the data platform scalesโข Identify appropriate shard keys and ensure even data distribution across shardsโข Convert non-sharded replica sets to sharded clusters as data growth demands itโข Implement and manage certificate-based x509 authentication and authorizationโข Performance tune queries, build proper query plans, and eliminate in-memory sortsโข Use MongoDump and MongoRestore for backup operations and disaster recoveryโข Partner with engineering on Mongoose ODM integrations and schema designโข Work with the security team on compliance, penetration testing findings, and mitigationsโข Build systems capable of handling billions of documents with high availabilityโ ๐ฅ๐๐ค๐จ๐๐ฅ๐๐ ๐ค๐จ๐๐๐๐๐๐๐๐ง๐๐ข๐ก๐ฆ๐ฅ๐ฒ๐พ๐๐ถ๐ฟ๐ฒ๐ฑ:โข Hands-on experience designing and operating multi-node MongoDB sharded clusters and replica setsโข Deep knowledge of replication architecture and change streamsโข Experience selecting shard keys and managing data distribution across shardsโข Experience converting replica sets to sharded clusters under production data growth conditionsโข Working knowledge of x509 certificate-based authentication and authorizationโข Proficiency with query planning, performance tuning, and Mongoose ODMโข Experience with MongoDump and MongoRestoreโข Authorized to work in the United States without sponsorship๐๐ผ๐ป๐๐ ๐ฃ๐ผ๐ถ๐ป๐๐:โข Experience supporting machine learning infrastructure or data-intensive AI platformsโข Background working in high-compliance engineering environmentsโข Familiarity with MongoDB Enterprise, MongoDB Community, and Percona distributionsโข Experience managing balancer operations and minimizing production impact during balancer runsโ ๐๐ข๐ ๐ฃ๐๐ก๐ฆ๐๐ง๐๐ข๐ก ๐๐ก๐ ๐๐๐ง๐๐๐๐ฆ๐ฃ๐ฎ๐ ๐ฅ๐ฎ๐๐ฒ: $65.00 to $72.00 per hour๐ฆ๐ฐ๐ต๐ฒ๐ฑ๐๐น๐ฒ: Monday through Friday, 9 AM to 5 PM PST ๐๐ผ๐ฐ๐ฎ๐๐ถ๐ผ๐ป: Fully remote. Open to candidates anywhere in the US๐๐บ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐ ๐ง๐๐ฝ๐ฒ: Contract, full time (40 hours per week)โ Apply via LinkedIn and we'll reach out to schedule a conversation. Confidential search; your application is fully private.๐ฃ๐ฎ๐๐ฒ ๐ง๐ฎ๐น๐ฒ๐ป๐ | ๐๐ถ๐ฟ๐ถ๐ป๐ด ๐ฅ๐ฒ๐ถ๐บ๐ฎ๐ด๐ถ๐ป๐ฒ๐ฑ