Staff SW Engineer (10-12 years' exp - .NET Core / Backend Engineer with AI-First Development Approach)
Visa1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Architect, design, build, and maintain distributed AI-augmented enterprise software platforms across .NET, Python, Java, Go, and C++ runtimes.
- Translate business and product requirements into scalable, resilient system designs and lead architecture, code-quality, and code-review practices.
- Develop Generative AI capabilities including RAG pipelines, conversational learner-support agents, LLM integrations, MCP servers, Microsoft Agent Framework applications, and Microsoft Declarative Agents for Microsoft 365 Copilot.
- Build xAPI learner-tracking pipelines and real-time analytics using Kafka, Redis, MongoDB, and Snowflake.
- Design, deploy, and operate Azure workloads across IaaS, PaaS, and SaaS models, including Windows/IIS, Docker, Kubernetes, and PowerShell automation.
- Own release management and CI/CD pipelines for application software and machine-learning model artifacts using Jenkins, GitHub Actions, and Git.
- Develop web front ends and back ends using Angular, ReactJS, Node.js, Vue.js, Next.js, JavaScript, HTML, CSS, XML, and RESTful APIs.
- Create automated unit, integration, regression, smoke, end-to-end, and accessibility tests and integrate them into CI/CD quality gates.
- Apply secure software development, authentication, cryptography, vulnerability remediation, SAST, SCA, and container-scanning practices.
- Establish observability and incident-response practices using Grafana, Splunk, and ThousandEyes; support on-call operations, root-cause analysis, and postmortems.
- Mentor, coach, and technically guide junior and mid-level software engineers and drive technical-debt reduction and reusable platform components.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field with 10+ years of relevant experience, or a master's degree with 8+ years of relevant experience.
- Expert-level C# experience with .NET Core and .NET Framework delivering enterprise SaaS and hosted applications in production.
- Experience with AI/ML frameworks and workloads, including TensorFlow, PyTorch, scikit-learn, large-dataset processing, feature engineering, model evaluation, deep learning, and neural-network training.
- Experience building Generative AI and conversational AI applications using RAG, NLP, LLM APIs, Microsoft Agent Framework, Microsoft Declarative Agents, AG-UI, and MCP servers.
- Anthropic Claude or applied-AI certification, or equivalent demonstrated proficiency building production applications with frontier LLM APIs.
- Server-side development experience in Python, Java, Go, and C++, plus experience with concurrency, multithreading, error management, and distributed enterprise systems.
- Strong full-stack development experience with Angular, ReactJS, Node.js, Vue.js, Next.js, JavaScript, HTML, CSS, XML, and RESTful APIs.
- Experience designing highly available distributed systems using Redis, Apache Kafka, Microsoft SQL Server, MongoDB, and Snowflake.
- Hands-on Microsoft Azure experience across IaaS, PaaS, and SaaS delivery models.
- Expertise in data structures, algorithms, enterprise architecture, object-oriented design patterns, and distributed-system design patterns.
- Experience with Docker, Jenkins, Groovy, GitHub Actions, Kubernetes, CI/CD, release management, and version control for software and ML models.
- Windows Server and IIS administration and PowerShell automation experience.
- Experience designing automated testing across the testing pyramid, including ADA and WCAG accessibility testing.
- Knowledge of Grafana, Splunk, ThousandEyes, OAuth2.0, SSO, SSDLC, cryptography, Checkmarx, SCA, and container image scanning.
- Experience mentoring, coaching, and technically guiding junior and mid-level engineers and collaborating across geographies and time zones.
- Preferred qualifications include Claude Code, GitHub Spec Kit, Power BI, Bruno or Postman or Insomnia, GraphQL, gRPC, SFTP, PGP/GPG, Kubernetes operators and CRDs, Helm, service meshes, Oracle, PL/SQL, Teradata, Pega, ServiceNow, Azure Key Vault, and HSM-backed key management.
Benefits
- Hybrid work arrangement with employees expected to work from the office three set days per week and generally at least 50% of the time based on business needs.
- Visa is an EEO employer and provides equal employment consideration in accordance with applicable law.
Tech Stack
AdaAngularApache KafkaAzureC#C++CSSDockerGitGitHub ActionsGoGrafanaGraphQLGroovygRPCHelmHTMLJavaJavaScriptJenkinsKubernetesMongoDBNext.jsNode.jsOracle DatabasePostmanPowerShellPythonPyTorchReactRedisscikit-learnSnowflakeSplunkTensorFlowVue.js
Categories
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.