Software Engineer - Database(MongoDB, SQL)

Overview

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.

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 (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.

• 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 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.
  
  

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.