workday
Staff SW Engineer (Java Fullstack)
Visa
Bengaluru, IND
Full-time
Senior · 8+ years experience
Discovered 2 weeks ago
angularawsazurecassandracouchbasecypress
Free
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Role Overview
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 Skills for This Role
angularawsazurecassandracouchbasecypress
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Qualifications
- Basic Qualifications:
- 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
- Design, develop, test, deploy, and support scalable full-stack applications across the complete software development life cycle.
- Build and maintain enterprise-grade applications using Java/J2EE, Spring Boot, Spring MVC, Spring Security, JPA, and Hibernate.
- Develop responsive user interfaces using Angular or React, JavaScript/TypeScript, HTML5, and CSS3.
- Design and consume APIs using REST, SOAP, JSON, XML, OpenAPI/Swagger, and secure integration patterns.
- Work with relational databases such as SQL Server, Oracle, DB2, or MySQL, including query optimization, indexing, and data modeling.
- Work with NoSQL databases such as MongoDB, Cassandra, DynamoDB, Couchbase, or Redis.
- Support data migration and data pipeline activities, including data extraction, transformation, validation, reconciliation, and production cutover.
- Implement and support event-driven and asynchronous processing using Kafka, RabbitMQ, IBM MQ, AWS SQS/SNS, or Azure Service Bus.
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