Staff SW Engineer (10-12 years' exp - .NET Core / Backend Engineer with AI-First Development Approach)

Role details

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Summary: We are seeking a talented and motivated Staff Software Engineer to join our VERA - Learning Enablement Technology team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our Value-Added Services (VAS) platform. You will be tasked to quickly grasp and evaluate new ideas and technologies from both internal and external sources and match them appropriately with emerging technology and business opportunities, building a culture of innovation and a drive for excellence. Essential functions Client-Focused Solutions Architect, design, build, and maintain distributed, AI-augmented enterprise software platforms across .NET Core / .NET Framework (C#), Python, Java, Go, and C++ runtimes. Translate business and product requirements into scalable, resilient system designs, and articulate architectural trade-offs (consistency vs. availability, latency vs. throughput, build vs. buy). Lead architectural design reviews, code-quality standards, and code reviews across the VAS Innovation & Learning portfolio. Troubleshoot complex production issues, drive root-cause analysis, and improve overall system reliability in alignment with Corporate Reliability Engineering (CRE) principles. Partner with product management, design, security, and infrastructure teams to translate business requirements into scalable technical solutions. Contribute to automation, developer tooling, and Generative AI adoption across the engineering organization. Mentor, coach, and technically guide junior and mid-level software engineers - pairing on complex tasks, delivering structured code-review feedback, teaching system-design, data-structures, algorithms and design-patterns fundamentals, and onboarding new team members. Technology Modernization Design and implement Generative AI capabilities embedded in enterprise learning and analytics products, including Retrieval-Augmented Generation (RAG) pipelines, conversational learner-support agents, and Large Language Model (LLM) integrations with proprietary Visa data sources. Design, build, and integrate Model Context Protocol (MCP) servers to expose Visa enterprise systems, APIs, knowledge repositories, and internal tools to AI agents under enterprise security controls (OAuth2.0, SSO, cryptographic key management). Design AI Agent-based applications using the Microsoft Agent Framework, including multi-agent orchestration, agent lifecycle management, tool invocation, autonomous workflow automation, and human-in-the-loop patterns implemented in accordance with the Agent-User Interaction (AG-UI) protocol. Design, author, and deploy Microsoft Declarative Agents for Microsoft 365 Copilot, including agent manifest authoring, instruction and capability definition, grounding against enterprise knowledge sources (SharePoint, OneDrive, Microsoft Graph connectors, custom APIs), and integration with Microsoft 365 Copilot extensibility surfaces. Design and implement Experience API (xAPI)-based learner-tracking pipelines for real-time analytics and gamification, using Apache Kafka for event-driven ingestion, Redis for in-memory state, MongoDB for document persistence, and Snowflake for cloud analytical data warehousing feeding Minerva and VCA Knowledge Xchange. Adopt best-in-class AI/ML, data, and cloud technology solutions to expand platform capabilities. Process Improvement Continuously improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time-to-market across the portfolio. Drive polyglot standards, shared libraries, and reusable platform components spanning using C#, Python, Cline, VATC Anthropic and Gpt Models. Engineering Excellence Perform large-scale system-design and architecture work, including capacity planning, latency and throughput modeling, partitioning and sharding strategies, consistency and availability trade-offs, caching hierarchies, and selection of appropriate data structures and algorithms (arrays, linked lists, stacks, queues, hash maps, heaps, trees, tries, graphs, and probabilistic data structures such as Bloom filters). Apply object-oriented and enterprise software design patterns - creational (Factory, Builder, Singleton), structural (Adapter, Facade, Proxy, Decorator), behavioral (Strategy, Observer, Command, Chain of Responsibility), and distributed-system patterns (Circuit Breaker, Bulkhead, Saga, CQRS, Event Sourcing, Retry with Exponential Backoff) - to produce maintainable, testable, and extensible implementations. Develop and maintain modern web front ends and back-ends for VisaUniversity.com and related SaaS applications using Angular, ReactJS, Node.js, Vue.js, Next.js, JavaScript, HTML, CSS, and XML, integrated with RESTful APIs and web services. Design, deploy, and operate Azure-hosted cloud workloads across Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS) delivery models, including hybrid Windows/IIS environments, containerized workloads orchestrated with Docker and Kubernetes, and administrative automation implemented in PowerShell. Own release management and CI/CD pipelines for both application software and machine-learning model artifacts, implemented using Jenkins (including Groovy-based Jenkins pipeline libraries), GitHub Actions, and Git-based vers