Software Engineer - Sr. Consultant at Visa

Bellevue, Washington, United States

Visa Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
FinTech, Payments, TechnologyIndustries

Requirements

  • 8+ years of relevant work experience with a Bachelor’s Degree, or 5+ years with an Advanced Degree (e.g., Masters, MBA, JD, MD), or 2+ years with equivalent experience
  • Deep experience in Java microservices (Spring Boot)
  • Experience with Python (FastAPI/Flask)
  • Expertise in designing scalable, secure backend systems and distributed systems
  • Proficiency in GenAI integration, including Large Language Models (LLMs) such as GPT, Claude, Mistral, and Gemini
  • Experience building and optimizing RAG pipelines using vector databases (Pinecone, Weaviate, FAISS)
  • Knowledge of orchestration and agentic workflows using LangChain, LangGraph, or Autogen
  • Skills in developing RESTful and gRPC APIs
  • Experience with Kubernetes, Docker, Prometheus/Grafana for scalability, monitoring, and observability
  • Hands-on technical leadership, including mentoring, setting coding standards, and leading design reviews
  • Entrepreneurial mindset focused on speed, quality, innovation, and delivering results with urgency

Responsibilities

  • Architect and evolve the Agentic AI Platform to support multi-agent orchestration, retrieval-augmented generation (RAG), and integration with existing Visa microservices
  • Design scalable, secure backend systems using Java (Spring Boot) and Python (FastAPI/Flask)
  • Develop RESTful and gRPC APIs that connect backend services, AI agents, and React front-end applications
  • Integrate Large Language Models (LLMs) such as GPT, Claude, Mistral, and Gemini into backend systems
  • Build and optimize RAG pipelines using vector databases (Pinecone, Weaviate, FAISS)
  • Develop orchestration and agentic workflows using LangChain, LangGraph, or Autogen
  • Lead the design and implementation of distributed, fault-tolerant systems that scale horizontally
  • Implement auto-scaling, monitoring, and observability using Kubernetes, Docker, and Prometheus/Grafana
  • Drive best practices for latency reduction, cost optimization, and service reliability
  • Partner with senior engineers, ML engineers, and product leads to define and deliver the platform roadmap
  • Mentor developers, set coding standards, and lead design reviews
  • Explore new frameworks, architectures, and deployment models to push the boundaries of Agentic AI in production
  • Drive continuous improvement, automation, and open-source adoption across the engineering organization

Skills

Java
Microservices
GenAI
AI Agents
Distributed Systems
Backend
Scalable Systems
Architecture

Visa

Global digital payment network provider

About Visa

Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.

San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees

Benefits

Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.

Risks

CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.

Differentiation

Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).

Upsides

Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.

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