About this role
We are seeking a highly skilled engineer with strong hands on experience in MongoDB to join our team. In this role you will be responsible for designing implementing and optimizing MongoDB solutions that support high performance scalable applications. You will work closely with development and architecture teams to define data models create efficient indexing strategies and ensure reliable replication backup and recovery processes. The ideal candidate will have a deep understanding of NoSQL design principles and the ability to troubleshoot and tune MongoDB deployments in both on premise and cloud environments. Experience with event driven or messaging platforms such as Kafka or Red Hat AMQ is highly advantageous. Familiarity with these technologies will enable you to contribute to real time data pipelines distributed integrations and asynchronous communication patterns across our systems.
Responsibilities:
Design implement and optimize MongoDB data models collections and indexing strategies to support high performance applicationsMonitor MongoDB cluster health and performance identifying bottlenecks and applying tuning techniques including index analysis query optimization and sharding strategiesEnsure data integrity consistency security and backup restore reliability across all MongoDB environmentsManage and maintain sharded clusters replica sets and high availability configurations for scalability and fault toleranceDevelop and optimize MongoDB queries and aggregation pipelines ensuring efficient execution for large datasetsImplement monitoring alerting and troubleshooting for MongoDB using tools such as Ops Manager Cloud Manager or equivalent observability platformsBuild and maintain data integration pipelines between MongoDB and other services ensuring stable and reliable data flowsWork with Kafka to support message ingestion streaming and event driven interactions with MongoDBConfigure and maintain AMQ messaging components to support asynchronous workflows and integrations with MongoDB backed servicesCollaborate with cross functional teams to design data architectures ensure proper data contracts and integrate MongoDB Kafka and AMQ components into broader platform solutionsThis is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
1-2 years of hands on experience working with MongoDB including basic schema design indexing and query optimizationFamiliarity with NoSQL data modeling principles and understanding of when to apply document oriented database patternsAbility to write and tune MongoDB queries and aggregation pipelines for application features and reporting needsExperience managing MongoDB in development environments including collections users roles and basic backup and restore proceduresExposure to distributed MongoDB concepts such as replica sets and introductory understanding of shardingBasic familiarity with Kafka or general messaging and streaming concepts including topics producers and consumersExposure to AMQ or similar messaging platforms such as ActiveMQ or Red Hat AMQ is advantageousComfortable using monitoring tools or logs to identify simple performance issues and troubleshoot connectivity or query problemsFoundational experience with CI CD pipelines and containerized environments such as Docker and Kubernetes exposure is a plusStrong problem solving ability eagerness to learn distributed system fundamentals and effective communication skills for cross team collaboration Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.