21 days ago
Singapore, SingaporeSenior
Responsibilities
- Collaborate with product, business, and cybersecurity stakeholders to clarify requirements and define technical solutions.
- Review requirements, create and document component designs, identify appropriate architectures and storage needs, and present solutions to engineering peers.
- Implement secure, production-grade code using established coding patterns and best practices.
- Own data products or pipeline components, participate in code reviews, and mentor engineers on best practices.
- Build automation and orchestration tools for transforming, managing, accessing, deploying, and monitoring data processes.
- Create queries to extract and compile raw data, validate data quality, and apply data governance and management principles.
- Develop GenAI-powered applications integrating large language models, agentic frameworks, vector search, and retrieval-augmented generation.
- Conduct testing, security scans, troubleshooting, production maintenance, software upgrades, and security remediation.
Requirements
- At least 2 years of relevant work experience and a bachelor’s degree, or at least 5 years of relevant work experience.
- Strong programming skills in Java, Python, or similar languages.
- Experience with backend services, APIs, microservices, data platforms, data pipelines, distributed systems, or cloud-native applications.
- Experience with real-time streaming or event-driven systems, including Kafka.
- Experience building automation tools, orchestration processes, and frameworks for data processing or application workflows.
- Experience with data extraction, transformation, querying, data quality validation, monitoring, and performance tuning across large datasets.
- Experience with unit, integration, or user acceptance testing, code reviews, coding standards, and security practices.
- Experience troubleshooting distributed systems, data pipelines, or backend services and supporting production upgrades and security remediation.
- Experience integrating large language models into applications using providers such as OpenAI or Anthropic.
- Familiarity with prompt engineering, retrieval-augmented generation, vector search, embeddings, tool calling, context management, agent memory, evaluation datasets, model benchmarking, and feedback loops.
- Experience with tools or frameworks such as LangChain, LangGraph, Model Context Protocol Servers, Spring AI, OpenAI SDKs, Anthropic SDKs, vector databases, knowledge graphs, or model evaluation frameworks.
- Ability to evaluate and improve AI output quality, safety, reliability, latency, and cost.
- Experience with databases, logging, monitoring, automated testing, design reviews, code reviews, and production troubleshooting.
- Strong problem-solving skills and ability to work in fast-paced, ambiguous environments.
Benefits
- Visa requires at least three days in the office, with specific expectations confirmed by the Hiring Manager.
Tech Stack
Categories
AI ApplicationsData Engineering
About Visa
Visa builds and operates a global digital payments network that connects consumers, merchants, financial institutions, and governments. It earns fees for processing card transactions and offering risk, data, and value‑added services through VisaNet and products like tokenization and tap‑to‑pay. Founded in 1958 and headquartered in Foster City, California, Visa is a public company (NYSE: V) serving clients in more than 200 countries and territories.