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Visa

Sr. SW Engineer

AI in this role

Lead the implementation of generative AI, agentic workflows, and RAG into scalable distributed systems and transaction platforms.

ChatGPTCopilotKafkaOauth 2 0SplunkDatadogGrafanaOpentelemetryDockerKubernetes
ragai-automationsoftware-engineeringdistributed-systemsgenerative-aicloud-nativeapi-design

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

Job Summary:

The Senior Software Engineer designs, builds, and supports secure, scalable solutions for Visa's Acceptance Solutions platform, focusing on transaction processing platforms. This hands-on role (60-75% coding) works with cross-functional teams to deliver reliable technology solutions while leveraging Generative AI and modern cloud-native practices.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

  • 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

Preferred Qualifications:

  • 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
  • Experience building enterprise-scale distributed systems, APIs, or integration platforms.
  • Experience with event-driven architecture using Kafka, message queues, event streaming, or workflow orchestration.
  • Experience with authentication/authorization (OAuth 2.0, OpenID Connect, JWT, SAML, mTLS, IAM).
  • Experience with observability and reliability (Splunk, Datadog, Grafana, OpenTelemetry, SLOs).
  • Experience with automated testing, contract testing, performance testing, and API certification.
  • Experience in product development within regulated industries (fintech, payments, banking).
  • Experience implementing Generative AI, agentic AI workflows, RAG, or intelligent automation.
  • Experience mentoring engineers and driving engineering standards across teams.
  • Experience with PCI-DSS, SOX, or financial services compliance requirements.
  • Experience with white-labeling and multi-tenant applications
  • Understanding of portal architecture and self-service platforms
  • Experience with authentication flows (SSO, OAuth, SAML)
  • Knowledge of internationalization and localization
  • Experience with design systems and component libraries
  • Understanding of merchant and acquirer workflows in payments.
  • Experience in software engineering, technology delivery, or a directly related field.
  • Experience designing, building, and supporting APIs, web services, microservices, or enterprise integration services.
  • Experience in a technical leadership role (with or without direct reports).
  • Proficiency in modern programming languages (Java, Python, JavaScript, TypeScript, Go, or Kotlin).
  • Strong experience with API-first design, REST, OpenAPI, JSON, webhooks, and event-driven architecture.
  • Experience with cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, and infrastructure as code.
  • Experience with system design, architecture, debugging, troubleshooting, and production support.
  • Experience collaborating with cross-functional teams to deliver secure and scalable solutions.
  • Ability to use AI-assisted tools (GitHub Copilot, ChatGPT, agentic AI) and establish safe AI practices.
  • Deep understanding of web application development and modern frontend frameworks
  • Experience with React, Angular, Vue.js, or similar frontend technologies
  • Expertise in responsive design and mobile-first development
  • Knowledge of UI/UX design principles and accessibility standards.


Information for US Applicants

For roles located in the US, the estimated salary range for this position is $110,700.00 to $ 171,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

How we rate this

Sr. SW Engineer at Visa rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI AutomationSoftware EngineeringDistributed SystemsGenerative AICloud NativeAPI DesignChatGPT

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Tell me about a workflow you automated with AI tools, end to end.
  3. Tell me about a project where software engineering was part of your work. What did you do?
  4. Tell me about a project where distributed systems was part of your work. What did you do?
  5. Tell me about a project where generative ai was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, AI Automation, Software Engineering, Distributed Systems, and Generative AI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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