Software Development Engineer

Visa is looking for a Software Development Engineer to join their team. As a Software Development Engineer at Visa, you will be an expert problem-solver and builder who designs, implements, and improves software applications and systems.

You will spend approximately 60–75% of your 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.

Key Responsibilities:

• Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions.
• Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines.
• Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements.
• Contribute to project estimation, considering delivery costs and escalating issues that may cause delays.
• Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices.
• Apply debugging tools to resolve moderately complex issues and identify opportunities for automation across products.
• Lead code reviews, ensuring adherence to coding standards and providing feedback to team members.
• Create complex test plans, identify test gaps, and proactively address defects to minimize customer impact.
• Leverage data analysis and monitoring standards to identify patterns and defects in all environments.
• Respond to incidents during on-call rotations, troubleshoot complex issues, and assist in incident response and resolution.
• Build, enhance, and identify new developer tools to support programs and applications.
• Proactively seek new knowledge and adapt to trends and technical solutions to improve product performance and recommend resources to other engineers.

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., Master's, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
• Experience in software engineering or a directly related field.
• Experience in developing and/or implementing web-based or mobile applications.
• Experience in a leadership role with or without direct reports.
• Experience in technologies/software systems or a directly related field.
• Experience in creating and maintaining test plans and executing testing procedures.
• Experience in debugging and troubleshooting software issues.
• Experience in collaborating with cross-functional teams to deliver technical solutions.
• Experience in code review and applying coding standards.
• Experience in building or enhancing developer tools.
• Practical exposure to AI/ML or GenAI solutions, with the ability to assess use cases, integration approaches, limitations, risks, and production-readiness.

Technical Skills:

• Java: Advanced proficiency in core Java, concurrency, collections, JVM fundamentals, performance tuning, and modern language features.
• Backend Engineering: Strong experience with Spring Boot, Spring Framework, JPA/Hibernate, REST APIs, microservices, and distributed systems.
• Front-End Engineering: Good knowledge of modern web development using Angular or React, TypeScript, JavaScript, HTML5, CSS3, responsive design, component-based architecture, state management, accessibility, and secure integration with REST APIs.
• Database Engineering: Strong knowledge of relational databases, SQL, data modeling, schema design, indexing, query optimization, transactions, and performance tuning, with working experience in NoSQL databases, caching, and Java data-access frameworks such as JPA/Hibernate.
• Data and Messaging: Experience with relational databases, SQL, NoSQL technologies, caching, and messaging platforms such as Kafka or NATS.
• Cloud-Native Delivery: Hands-on experience with Docker, Kubernetes, Linux, infrastructure environments, and CI/CD tools such as Maven, Gradle, Jenkins, or equivalent platforms.
• Security: Knowledge of secure coding, OAuth 2.0, OIDC, API security, secrets management, vulnerability remediation, and enterprise security standards.
• Observability: Experience with application logging, metrics, tracing, alerting, and tools such as Splunk, Prometheus, Grafana, or OpenTelemetry.
• Testing: Strong experience with JUnit, Mockito, automated integration testing, code-quality tools, and test-driven development.
• AI/GenAI: Good understanding of LLMs, prompt engineering, embeddings, vector databases, RAG, model APIs, AI agents, evaluation, and responsible-AI practices.
• AI Integration: Ability to integrate AI services through APIs or SDKs; familiarity with frameworks such as Spring AI, LangChain4j, LangChain, or equivalent is desirable.

Benefits:

• Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program