Database Engineer - MongoDB, SQL

Company Description

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

Job Description

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 applications
• Monitor MongoDB cluster health and performance identifying bottlenecks and applying tuning techniques including index analysis query optimization and 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
• Work with Kafka to support message ingestion streaming and event driven interactions with MongoDB
• 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 and AMQ components into broader platform solutions

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

• 1-2 years of hands on experience working with MongoDB including basic schema design indexing and query optimization
• Familiarity with NoSQL data modeling principles and 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 and restore procedures
• Exposure to distributed MongoDB concepts such as replica sets and introductory understanding of sharding
• Basic familiarity with Kafka or general messaging and streaming concepts including topics producers and consumers
• Exposure to AMQ or similar messaging platforms such as ActiveMQ or Red Hat AMQ is advantageous
• 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 such as Docker and Kubernetes exposure is 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.

Client-provided location(s): Bangalore, India

Job ID: 8980e7f3-5f20-40e7-a537-0193dbb007a9

Employment Type: OTHER

Posted: 2026-02-23T05:28:18