Staff SW Engineer (10-12 years' exp - .NET Core / Backend Engineer with AI-First Development Approach)
Visa · Posted Oct 7
Digital payment technology platform and global payment card services corporation
Bengaluru, IndiaFull-timeHybridLead/Staff10–12 years₹60.0L–₹90.0L yearly76 applicants
BankingPaymentsFinancial ServicesCredit CardsFintechPublic Company
Full time
Get a personal compatibility score
Add a resume for personal matches
About the role
Visa's VERA - Learning Enablement Technology team develops solutions for the Value-Added Services (VAS) platform, focusing on AI-augmented enterprise software and learning analytics. The team works with Generative AI, RAG pipelines, MCP servers, AI agents, and modern cloud technologies. This Staff Software Engineer role will architect, design, and maintain distributed systems across .NET, Python, Java, Go, and C++, lead architecture and code reviews, and mentor engineers.
What you will do
- 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.
- 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.
- 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.
- 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 version control - covering automated build, test, security scanning, model-versioning, and progressive deployment stages.
- Design and author automated test suites across the testing pyramid - unit tests, integration tests, regression tests, smoke tests, end-to-end tests, and Americans with Disabilities Act (ADA) / WCAG accessibility tests - and integrate these into CI/CD quality gates.
- Apply enterprise security and Secure Software Development Lifecycle (SSDLC) practices, including cryptography fundamentals, authentication protocols (OAuth2.0, SSO), secure coding standards, and secure handling of AI/ML model inputs and outputs.
- Identify, triage, and remediate security vulnerabilities in the codebase using Static Application Security Testing (SAST) tooling such as Checkmarx, Software Composition Analysis (SCA) for third-party and open-source dependencies, and container image scanning; enforce code-quality standards through static analysis, coverage thresholds, and pre-merge quality gates.
- Write clean, maintainable code following established architecture and code governance principles.
- Proactively manage and reduce technical debt across the portfolio.
- Establish and enforce observability, monitoring, and incident-response practices using Grafana, Splunk, and ThousandEyes.
- Serve as release manager and provide on-call support for high-priority production incidents.
- Support incident, change, and problem management processes to ensure high availability and reliability.
- Participate in and lead root-cause analyses, blameless postmortems, and remediation tracking.
Skills used in this role
C#.NET Core.NET FrameworkPythonJavaGoC++Generative AIRAGLLMMCPMicrosoft Agent FrameworkMicrosoft 365 CopilotApache KafkaRedisMongoDBSnowflakeAzureDockerKubernetesJenkinsTensorFlowPyTorchscikit-learnOAuth2.0
What the employer is looking for
- Bachelor's degree in Computer Science, Engineering, or related field with 10+ years of relevant experience, or master’s degree with 8+ years.
- Expert-level skills in C# on .NET Core and .NET Framework, with hands-on experience delivering enterprise SaaS and hosted applications in production.
- Proficiency with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) and data skills including large-dataset handling, preprocessing, feature engineering, and model evaluation.
- Experience building Generative AI and conversational AI applications, including RAG architectures, NLP techniques, and integration into enterprise systems.
- Familiarity with deep-learning concepts, including neural-network architectures and training procedures.
- Experience designing and developing AI Agent-based applications using the Microsoft Agent Framework, including multi-agent orchestration, agent lifecycle management, tool integration, and autonomous workflow automation.
- Experience designing, authoring, and deploying Microsoft Declarative Agents for Microsoft 365 Copilot.
- Strong understanding of the Agent-User Interaction (AG-UI) Protocol, with experience designing conversational experiences, agent communication patterns, context management, human-in-the-loop workflows, and user-centric AI interactions.
- Hands-on experience designing, building, and integrating Model Context Protocol (MCP) Servers, enabling secure connectivity between AI agents, enterprise systems, APIs, knowledge repositories, and external tools.
- Anthropic Claude / applied-AI certification or equivalent demonstrated proficiency in building production applications on top of frontier Large Language Model APIs.
- Experience in multi-threading, concurrency handling, and advanced error management in enterprise-scale applications.
- Knowledge of version-control best practices for both software and ML models.
- Track record of integrating AI components into larger, distributed enterprise systems.
- Proven server-side development experience in Python (including AI/ML workloads), Java, Go (Golang), and C++.
- Strong experience in web application and full-stack development, including modern UI frameworks (Angular, ReactJS, Node.js, Vue.js, next.js), JavaScript, HTML/CSS/XML, and integration with RESTful APIs and web services.
- Strong background in enterprise architecture and large-scale system design - designing and deploying highly available, resilient, distributed systems with in-memory computing (Redis), event-driven streaming (Apache Kafka), and both SQL and NoSQL data stores including Microsoft SQL Server and MongoDB.
- Hands-on experience with cloud data warehousing and analytics using Snowflake.
- Hands-on experience with Microsoft Azure across Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS) delivery models.
- Strong applied knowledge of core data structures and algorithms (arrays, linked lists, stacks, queues, hash maps, heaps, trees, tries, graphs, probabilistic data structures) and analysis of time and space complexity.
- Demonstrated fluency with object-oriented and enterprise software design patterns (creational, structural, behavioral, and distributed-system patterns).
- Hands-on expertise in DevOps tools (Docker, Jen...
Benefits and support
- Compensation and benefits are detailed in the job posting
About Visa
Visa Inc. is a multinational payment card services corporation that facilitates electronic funds transfers worldwide. The company empowers global commerce through its secure digital payment network, connecting consumers, merchants, financial institutions, and government entities across more than 200 countries and territories.
- Industry
- Banking
- Company size
- 34100 employees
- Founded
- 1958-09-18
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $17.9B raised
Bank of AmericaInstitutional Investors
- 2008-03-19IPO$17.9B
Leadership
RM
Ryan McInerney
Chief Executive Officer
CS
Chris Suh
Chief Financial Officer
JF
Jack Forestell
Chief Product and Strategy Officer
OJ
Oliver Jenkyn
Group President, Global Markets
KM
Kelly Mahon Tullier
Vice Chair, Chief People and Corporate Affairs Officer
Recent coverage
Visa Newsroom
Visa Expands Fan-First Strategy with New and Renewed Team Partnerships Across Pro Football2026-10-05