Software Engineer (6months to 2 years experience, Java/Python)

Overview

Join Visa's Payment Fraud Disruption engineering team within the Ecosystem and Operational Risk organization to build data platforms, real-time streaming solutions, and GenAI-powered applications that protect the Visa network and drive intelligent risk decisions.

What you'll do

• Build and maintain scalable data pipelines, APIs, microservices, and distributed applications that power fraud intelligence and risk solutions.
• Develop real-time and batch data-processing applications using modern data engineering technologies.
• Build and integrate Generative AI capabilities such as intelligent search, summarization, copilots, Retrieval-Augmented Generation, and agent-based workflows.
• Design services for reliability and resiliency by applying patterns such as retries, timeouts, circuit breakers, idempotency, failure isolation, and graceful degradation.
• Implement monitoring, structured logging, distributed tracing, dashboards, and actionable alerts to improve system visibility and operational readiness.
• Define and monitor service-health indicators across availability, latency, throughput, error rates, data quality, and resource utilization.
• Develop automated unit, integration, performance, resiliency, and deployment-validation tests.
• Identify production risks, system bottlenecks, recurring failures, and performance issues, and contribute to sustainable corrective actions.
• Participate in production support, incident triage, root-cause analysis, and post-incident improvement activities.
• Create and maintain operational documentation, troubleshooting guides, alerts, and runbooks for supported services.
• Collaborate with Product, Data Science, Platform Engineering, Site Reliability Engineering, and Security teams to deliver secure, scalable, and reliable solutions.
• Leverage AI-assisted development tools to improve engineering productivity, software quality, testing, and delivery consistency.

What you'll need

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
• 6 months to 2 years of software engineering experience developing enterprise applications, data platforms, distributed systems, or cloud-native solutions.
• Strong programming skills in Java and/or Python.
• Experience building APIs, microservices, data pipelines, or distributed applications.
• Understanding of data structures, algorithms, object-oriented design, and software engineering fundamentals.
• Experience with automated testing, source control, code reviews, and CI/CD practices.
• Foundational understanding of application monitoring, structured logging, alerting, and production troubleshooting.
• Strong analytical, problem-solving, communication, and collaboration skills.

Nice to have

• Experience with Kafka, Spark, relational databases, data modeling, and batch or real-time data pipelines.
• Familiarity with LLM applications, RAG, vector databases, prompt engineering, and agentic AI frameworks.
• Experience with cloud platforms, Docker, Kubernetes, CI/CD, and DevOps practices.
• Understanding of monitoring, logging, tracing, alerting, and production troubleshooting.
• Familiarity with resiliency patterns such as retries, timeouts, circuit breakers, idempotency, and graceful degradation.
• Exposure to performance testing, capacity planning, incident management, and root-cause analysis.
• Experience in fraud, cybersecurity, financial services, or large-scale data platforms.

Details

• Location: Bengaluru, India.
• Visa requires at least 3 days in office; expectations will be confirmed by the Hiring Manager.