Staff Software Engineer in Test at Visa

Warsaw, Masovian Voivodeship, Poland

Visa Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Payments, Fintech, TechnologyIndustries

Requirements

  • 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience
  • Knowledge of and ability to develop tools and automation test code (e.g. Python, Java) in support of product testing and development
  • Experience with Jenkins, git, or other source control and CI/CD technologies
  • Knowledge and the ability to automate test cases using Playwright, pyTest
  • Experience building and testing applications, RESTful services or microservices on a modern technology stack
  • Knowledge of and the ability to leverage Linux based environments including shell scripting (in any language)

Responsibilities

  • Contribute to the design, development, and maintenance of an enterprise level test automation suite
  • Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads
  • Contribute to the development of robust and scalable products intended for a myriad of customers including end-user merchants, B2B, and business to government solutions
  • Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology
  • Define test automation architecture including environments and connections
  • Organize work on test automation framework
  • Define Git-flow and code review process
  • Implement CI working with DevOps team
  • Have deep understanding of a project, infrastructure, business value, and a functionality they work on
  • Define test suits, tracks test automation coverage, efficiency and stability
  • Organize tasks allocation in Test Engineering team
  • Estimate stories, create test documentation in Zephyr, tests requirements
  • Test functionality defining what should be covered and how, define what to automate, develops tests
  • Support Test Engineering infrastructure
  • Provide technical leadership and mentoring

Skills

Automated Testing
CI/CD
Test Automation
Full Stack Development
Agile
Integration Testing
Software Testing

Visa

Global digital payment network provider

About Visa

Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.

San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees

Benefits

Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.

Risks

CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.

Differentiation

Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).

Upsides

Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.

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