
About Us
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.
Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60–75% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams – product managers, designers, data scientists, QA, operations, and compliance – to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements.
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Key Responsibilities:
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
Education & Experience:
7.5+ yearsof relevant software engineering experience
Bachelor's or Master's degreein Computer Science, Software Engineering, Distributed Systems, or related field
Core Technical Skills:
Java & Distributed Systems Expertise:
Extensive technical experience withJAVA, Spring, Hibernate
Advanced Java developmentincluding concurrency, multithreading, and performance optimization
Deep understanding ofdistributed system architectures(microservices, event-driven, service mesh)
Experience withdistributed consensus algorithms(Raft, Paxos) and coordination services (Zookeeper, etcd)
Proficiency indistributed data managementpatterns (CQRS, Event Sourcing, Saga patterns)
Strong knowledge ofdistributed caching(Redis, Hazelcast, Memcached)
Experience withmessage queues and streaming platforms(Kafka, RabbitMQ, Pulsar)
Understanding ofCAP theorem, eventual consistency, and distributed transaction management
Experience buildinghighly available, fault-tolerant systemswith disaster recovery capabilities
Knowledge ofservice discovery, load balancing, and circuit breaker patterns
Proficiency in code development usingEclipse/MyEclipse, JetBrains IntelliJor any major Java IDE
Strong experience withGIT/Stash, Maven, and Jenkins
API & Integration:
Extensive experience inAPI Developmentusing SOAP or REST, JSON and XML
Deep knowledge of API standards includingOAuth, SAML
Experience withGraphQL, gRPC, and modern API gateway patterns
Understanding ofAPI versioning, rate limiting, and distributed API management
Experience buildingasync/reactive APIsusing Spring WebFlux or similar frameworks
Data & Infrastructure:
Experience withSQL datastores(DB2/MySQL) andUnix/Linux platforms
Understanding ofdatabase sharding, replication, and distributed database systems
Experience withdistributed file systems(HDFS, S3, or similar)
Knowledge ofdata consistency patternsacross distributed datastores
Proven experience withtools development, automation(CI/CD, Auto Deployment, System Availability), logging and monitoring
Experience withdistributed tracing(Jaeger, Zipkin, OpenTelemetry)
Working knowledge ofstreaming platforms like Kafkafor real-time data processing
AI-First Engineering Skills:
Hands-on experience withLLM integrationand serving at scale (OpenAI API, Azure OpenAI, Claude, Llama, etc.)
Proficiency inAI-assisted developmenttools (GitHub Copilot, Cursor, Cline, or similar)
Experience buildingintelligent APIswith AI/ML inference endpoints in distributed environments
Understanding ofvector databases(Pinecone, Weaviate, ChromaDB) for RAG applications
Knowledge ofprompt engineeringand AI model fine-tuning
Distributed Systems Design:
Experience designingscalable microservices architectureshandling millions of transactions
Knowledge ofdistributed system monitoringand observability (Prometheus, Grafana, ELK stack)
Understanding ofcontainer orchestrationin distributed environments
Experience withchaos engineeringand resilience testing
Proficiency indistributed debuggingand troubleshooting techniques
Professional Capabilities
Ability to writeclean, coherent codefollowing established coding guidelines
Strong interpersonal and effective communication skills(both written and verbal)
Highly driven, resourceful, and results-oriented
Experience leveraging AI tools toaccelerate development velocityand code quality
Ability to design and communicatedistributed system architectureseffectively
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.

Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and be paid.
Learn more at Visa.com.