Software Engineer Database(MongoDB, SQL)

We are seeking a highly skilled engineer with strong handson experience in MongoDB to join our this role you will be responsible for designing implementing and optimizing MongoDB solutions that support highperformance 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 onpremise and cloud environments. Experience with eventdriven or messaging platforms such as Kafka or Red Hat AMQ is highly advantageous. Familiarity with these technologies will enable you to contribute to realtime 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 applications.
• Monitor MongoDB cluster health and performance identifying bottlenecks and applying tuning techniques (index analysis query optimization sharding strategies).
• Ensure data integrity consistency security and backup/restore reliability across all MongoDB environments.
• Manage and maintain sharded clusters replica sets and high availability configurations for scalability and fault tolerance.
• Develop and optimize MongoDB queries and aggregation pipelines ensuring efficient execution for large datasets.
• Implement monitoring alerting and troubleshooting for MongoDB using tools such as Ops Manager Cloud Manager or equivalent observability platforms.
• Build and maintain data integration pipelines between MongoDB and other services ensuring stable and reliable data flows.
• (Bonus) Work with Kafka to support message ingestion streaming and event driven interactions with MongoDB.
• (Bonus) Configure and maintain AMQ messaging components to support asynchronous workflows and integrations with MongoDB backed services.
• Collaborate with cross functional teams to design data architectures ensure proper data contracts and integrate MongoDB/Kafka/AMQ components into broader platform solutions.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 

Qualifications :

• 12 years of hands on experience working with MongoDB including basic schema design indexing and query optimization.
• Familiarity with NoSQL data modeling principles and an understanding of when to apply document oriented database patterns.
• Ability to write and tune MongoDB queries and aggregation pipelines for application features and reporting needs.
• Experience managing MongoDB in development environments including collections users roles and basic backup/restore procedures.
• Exposure to distributed MongoDB concepts such as replica sets and an introductory understanding of sharding.
• Basic familiarity with Kafka or general messaging/streaming concepts (topics producers/consumers) is a strong plus.
• Exposure to AMQ or similar messaging platforms (ActiveMQ Red Hat AMQ) is advantageous for asynchronous integration workflows.
• Comfortable using monitoring tools or logs to identify simple performance issues and troubleshoot connectivity or query problems.
• Foundational experience with CI/CD pipelines and containerized environments (Docker; Kubernetes exposure a plus).
• Strong problem solving ability eagerness to learn distributed system fundamentals and effective communication skills for cross team collaboration.

Additional Information :

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.

Remote Work :

No

Employment Type :

Full-time