Job
Description
As a Senior MongoDB Database Administrator-Developer with 6+ years of experience, you will take ownership of the database infrastructure, managing, tuning, and supporting MongoDB environments across development, staging, and production systems. Your role will be crucial in maintaining data integrity, ensuring system performance, and planning for future growth. **Key Responsibilities:** - Monitor, maintain, and optimize MongoDB performance and uptime - Configure and fine-tune database parameters for maximum efficiency - Implement robust backup and recovery strategies - Ensure data integrity, security, and compliance across environments - Migrate databases from on-premises to cloud instances (Community to Atlas) - Upgrade databases agents, etc. to newer Mongo versions In addition to MongoDB expertise, familiarity with FiveTran Snowflake, and application-database development (especially with ETL data scripting node.js, JavaScript, and application design patterns for Mongo) are highly valued. **Additional Details:** You will troubleshoot and resolve application and database-related issues, perform routine maintenance and version upgrades, provide responsive expert-level support to engineering and end-users, and maintain detailed documentation of procedures, configurations, and best practices. Consult with the development team to apply MongoDB application patterns and best practices to their code, create scripts to pull data from MongoDB databases for analysis and reporting purposes, and enhance and refine ETL scripting as needed (FiveTran and Snowflake). Analyze database usage trends to anticipate future needs, develop and recommend data growth and scaling strategies, monitor system performance, and proactively address bottlenecks, right-size server resources, and manage efficient data archival processes. Tune databases for optimal performance (indexes, oplog, disk IO, etc.), design and maintain efficient indexing strategies, monitor and optimize oplog usage and replication performance, implement server scaling and performance optimization plans, and analyze and improve query execution plans for speed and efficiency. Design and test comprehensive disaster recovery plans, collaborate with cross-functional teams to ensure DR readiness, monitor backup jobs, and validate recovery procedures regularly.,
