Sr. Consultant SW Engineer

Visa•Bellevue, WA

1d•Hybrid

About The Position

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. The Work itself: Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities

Requirements

8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
Degree in Computer Science, Engineering, Information Technology, or a related field (or foreign equivalent), and 8+ years of relevant work experience; OR
Master’s degree in a related field (or foreign equivalent) and 5+ years of relevant work experience; OR
PhD in a related field (or foreign equivalent) and 2+ years of relevant work experience; OR
12+ years of relevant work experience in lieu of a degree.
Combinations of education and experience that achieve equivalent proficiency will be considered.
LLM & AI/ML Integration (Core Requirement) – 4+ years integrating AI/ML capabilities into enterprise-grade platforms (or equivalent experience), including 2+ years with LLM orchestration, Retrieval-Augmented Generation (RAG), embedding models, vector databases, and API integration of generative AI services (e.g., ChatGPT, Microsoft Copilot, Anthropic Claude, or equivalent).
Full-Stack Engineering & Integration Architecture – 7+ years designing, building, and delivering secure, highly available applications across backend services (Java, Go, Python, or equivalent) and modern front-end frameworks (React, Angular, Vue, or equivalent), with expertise in API-first platforms, UI integration, REST/gRPC/GraphQL, and event-driven patterns (or equivalent).
Cloud & Containerization – 5+ years with public cloud platforms (AWS, Azure, GCP, or equivalent) and container orchestration (Docker, Kubernetes, OpenShift, or equivalent), including scaling, optimization, and cost management.
Data Management – 7+ years working with relational databases (Oracle, MySQL, PostgreSQL, or equivalent) and NoSQL databases (MongoDB, Cassandra, or equivalent), including schema design, query optimization, and distributed transactions.
Application & Infrastructure Security – 5+ years applying secure-by-design principles, API security, and vulnerability remediation (OWASP Top 10, TLS, IAM, PCI DSS, GDPR, or equivalent) in enterprise environments.
Responsible AI & Governance – Experience implementing bias detection, explainability, human-in-the-loop workflows, and compliance controls within AI systems, aligned to enterprise governance frameworks (or equivalent).
Developer Enablement & Generative AI in Engineering – 5+ years improving developer productivity through API standards, SDKs, CLI tools, and automation frameworks (or equivalent), including at least 1 year applying generative AI across the SDLC (e.g., GitHub Copilot, Cline, Cursor, Claude Code, or equivalent) for code reviews, automated documentation, user story creation, and workflow automation.
Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++)
Builder: Experience building and deploying modern services and web applications with quality and scalability
Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc.
Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams

Nice To Haves

Observability & Monitoring (Nice to Have) – Familiarity with observability frameworks and monitoring/tracing tools (Prometheus, Grafana, ELK, OpenTelemetry, or equivalent) to support performance and reliability in distributed or AI-enabled systems.
Multi-Agent Orchestration (Nice to Have) – Familiarity with agentic frameworks (e.g., LangChain, Semantic Kernel, or equivalent) and multi-agent communication patterns (e.g., ACP, A2A, ANP, or similar).

Responsibilities

Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization.
Develops and designs advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem.
Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed.
Plays a key role in the development and delivery of new features across products from end-to-end.