Sr. SW Engineer (3-5 years, Java/Python, GenAI, Agentic Development)

Visa
Bengaluru
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 3-5 yearsEducation: bachelorsSkills: ["Self-driven","Cross-functional collaboration","Continuous learning","Client-focused mindset","Root-cause analysis"]

Join Visa’s VAS Innovation team as a Senior Software Engineer to design and build innovative software solutions for the Value-Added Services platform. You’ll develop and modernize integrations with APIs, implement generative AI and agentic capabilities (including RAG), and collaborate cross-functionally across Product Office, Operations & Infrastructure, Cybersecurity, and client-facing teams. You’ll also drive engineering excellence through automation, CI/CD, incident/change support, and continuous improvements to scalability, reliability, and technical debt.

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FursaFursa
Visa
Visa
19 hours ago

Sr. SW Engineer (3-5 years, Java/Python, GenAI, Agentic Development)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Join Visa’s VAS Innovation team as a Senior Software Engineer to design and build innovative software solutions for the Value-Added Services platform. You’ll develop and modernize integrations with APIs, implement generative AI and agentic capabilities (including RAG), and collaborate cross-functionally across Product Office, Operations & Infrastructure, Cybersecurity, and client-facing teams. You’ll also drive engineering excellence through automation, CI/CD, incident/change support, and continuous improvements to scalability, reliability, and technical debt.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and implement innovative software solutions for the VAS platform, including generative AI and modern integration patterns.
  • •Collaborate with cross-functional teams to deliver complex projects integrating emerging technologies with existing platforms.
  • •Develop APIs to enhance integration of Value-Added Services applications, platforms, and solutions.
  • •Modernize technology stacks and adopt best-in-class solutions to advance the modernization roadmap and improve productivity, quality, and time-to-market.
  • •Support engineering excellence through automation of development/testing/deployment, incident/change/problem management, and root-cause troubleshooting to maintain high availability and reliability.

Key Requirements

  • •3-5 years of relevant work experience with a Bachelor's degree or advanced degree.
  • •Expert-level Java or Python; C++ and C# are a bonus.
  • •Experience building generative AI applications, conversational AI, and RAG architectures, techniques, and libraries.
  • •Proven track record leading AI projects from conception to deployment; ability to design and implement full-stack AI systems integrating with business processes.
  • •Experience with deployment and build systems such as Docker, Jenkins, and Kubernetes; plus CI/CD and best practices for ML model deployment.
Experience:3-5 yearsPayments techGenerative AIConversational AIRAGMLOps
Education:Bachelor's
Skills:Self-drivenCross-functional collaborationContinuous learningClient-focused mindsetRoot-cause analysis
Tech Stack:JavaPythonC++C#Generative AIRAGReactJSAngularNodeJSDockerJenkinsKubernetesRedisOAuth2.0SSOCI/CDCI/CD pipelinesML model deploymentSSDL CCryptography

Company Brief

Visa
Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1958
Glassdoor
Glassdoor: 3.8
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