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MongoDB Administrator (REMOTE)

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Pave TalentRemoteL5 SeniorMay 4th, 2026

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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 €๐—ง๐—›๐—˜ ๐—ข๐—ฃ๐—ฃ๐—ข๐—ฅ๐—ง๐—จ๐—ก๐—œ๐˜๐—ฌYou 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 €๐—ช๐—›๐—”๐—ง ๐—ฌ๐—ข๐—จ'๐—Ÿ๐—Ÿ ๐—•๐—จ๐—œ๐—Ÿ๐——โ€ข Design, install, and configure multi-node MongoDB sharded clusters and replica sets running on AWS EC2โ€ข Add and remove replica and shard nodes as the data platform scalesโ€ข Identify appropriate shard keys and ensure even data distribution across shardsโ€ข Convert non-sharded replica sets to sharded clusters as data growth demands itโ€ข Implement and manage certificate-based x509 authentication and authorizationโ€ข Performance tune queries, build proper query plans, and eliminate in-memory sortsโ€ข Use MongoDump and MongoRestore for backup operations and disaster recoveryโ€ข Partner with engineering on Mongoose ODM integrations and schema designโ€ข Work with the security team on compliance, penetration testing findings, and mitigationsโ€ข Build systems capable of handling billions of documents with high availabilityโ €๐—ฅ๐—˜๐—ค๐—จ๐—œ๐—ฅ๐—˜๐—— ๐—ค๐—จ๐—”๐—Ÿ๐—œ๐—™๐—œ๐—–๐—”๐—ง๐—œ๐—ข๐—ก๐—ฆ๐—ฅ๐—ฒ๐—พ๐˜‚๐—ถ๐—ฟ๐—ฒ๐—ฑ:โ€ข Hands-on experience designing and operating multi-node MongoDB sharded clusters and replica setsโ€ข Deep knowledge of replication architecture and change streamsโ€ข Experience selecting shard keys and managing data distribution across shardsโ€ข Experience converting replica sets to sharded clusters under production data growth conditionsโ€ข Working knowledge of x509 certificate-based authentication and authorizationโ€ข Proficiency with query planning, performance tuning, and Mongoose ODMโ€ข Experience with MongoDump and MongoRestoreโ€ข Authorized to work in the United States without sponsorship๐—•๐—ผ๐—ป๐˜‚๐˜€ ๐—ฃ๐—ผ๐—ถ๐—ป๐˜๐˜€:โ€ข Experience supporting machine learning infrastructure or data-intensive AI platformsโ€ข Background working in high-compliance engineering environmentsโ€ข Familiarity with MongoDB Enterprise, MongoDB Community, and Percona distributionsโ€ข Experience managing balancer operations and minimizing production impact during balancer runsโ €๐—–๐—ข๐— ๐—ฃ๐—˜๐—ก๐—ฆ๐—”๐—ง๐—œ๐—ข๐—ก ๐—”๐—ก๐—— ๐——๐—˜๐—ง๐—”๐—œ๐—Ÿ๐—ฆ๐—ฃ๐—ฎ๐˜† ๐—ฅ๐—ฎ๐˜๐—ฒ: $65.00 to $72.00 per hour๐—ฆ๐—ฐ๐—ต๐—ฒ๐—ฑ๐˜‚๐—น๐—ฒ: Monday through Friday, 9 AM to 5 PM PST ๐—Ÿ๐—ผ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป: Fully remote. Open to candidates anywhere in the US๐—˜๐—บ๐—ฝ๐—น๐—ผ๐˜†๐—บ๐—ฒ๐—ป๐˜ ๐—ง๐˜†๐—ฝ๐—ฒ: 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.๐—ฃ๐—ฎ๐˜ƒ๐—ฒ ๐—ง๐—ฎ๐—น๐—ฒ๐—ป๐˜ | ๐—›๐—ถ๐—ฟ๐—ถ๐—ป๐—ด ๐—ฅ๐—ฒ๐—ถ๐—บ๐—ฎ๐—ด๐—ถ๐—ป๐—ฒ๐—ฑ