1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead architecture, design, and development of scalable data platforms, APIs, and distributed services.
- Design real-time and batch processing solutions for fraud intelligence, analytics, and machine learning workloads.
- Drive production adoption of Generative AI, RAG, intelligent copilots, and agentic workflows.
- Partner with Product, Data Science, Platform Engineering, and Security teams on technical strategy and execution.
- Improve scalability, reliability, security, observability, and operational excellence across critical platforms.
- Mentor engineers, establish reusable patterns and engineering standards, and influence technical direction across teams.
Requirements
- Bachelor’s degree in computer science, Engineering, Data Science, or a related technical field.
- 8+ years of software engineering experience building enterprise-scale applications, platforms, or data-intensive systems.
- Strong programming expertise in Java and/or Python.
- Experience designing and building distributed systems, microservices, APIs, and large-scale data platforms.
- Strong understanding of system design, data structures, algorithms, scalability, and performance optimization.
- Demonstrated ability to lead complex technical initiatives, communicate architecture decisions, and influence engineering outcomes.
- Preferred experience with Apache Kafka, Apache Flink, Apache Spark, Hadoop/Hive, ClickHouse, PostgreSQL, or MySQL.
- Preferred experience designing scalable data pipelines, streaming architectures, analytics platforms, and data quality controls.
- Preferred experience building and operating production-grade applications using Large Language Models.
- Preferred hands-on experience with RAG, vector databases, prompt engineering, AI agents, tool calling, and orchestration patterns.
- Preferred experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar frameworks.
- Preferred experience designing cloud-native solutions on AWS, Azure, or Google Cloud Platform.
- Preferred experience with Docker, Kubernetes, infrastructure automation, observability, monitoring, reliability engineering, and production operations.
Benefits
- Visa requires at least three days in the office per week, with the specific days confirmed by the hiring manager.
- Visa is an equal opportunity employer.
Tech Stack
Apache FlinkApache HadoopApache HiveApache KafkaApache SparkAWSAzureClickHouseDockerGoogle Cloud PlatformJavaKubernetesMySQLPostgreSQLPython
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.