V

Visa

Runs a global network for digital payments

Staff Software Engineer - Software Development Engineer in Test

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeAustin, TX, USA

About the Job

Requirements

  • At least 5 years of relevant work experience with a bachelor's degree, at least 2 years of work experience with an advanced degree such as a master's, MBA, JD, or MD, or 0 years of work experience with a PhD; alternatively, at least 8 years of relevant work experience.
  • Demonstrated ability to drive adoption of generative AI and AI-assisted engineering practices to improve solution design, development, testing, troubleshooting, and operational efficiency.
  • Experience promoting secure, responsible, and compliant use of generative AI technologies while maintaining code quality, data protection, intellectual property, and compliance standards.
  • Demonstrated ownership across the full software development lifecycle, including development, quality engineering, automation, deployment, production validation, and production support.
  • Strong understanding of software quality practices, including shift-left testing, automated testing, performance testing, defect management, and root cause analysis.
  • Experience mentoring engineers in development, testing, automation, troubleshooting, and modern engineering practices.

Responsibilities

  • Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions.
  • Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines.
  • Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements.
  • Contribute to project estimation, considering delivery costs and escalating issues that may cause delays.
  • Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices.
  • Apply debugging tools to resolve moderately complex issues and identify opportunities for automation across products.
  • Lead code reviews, ensuring adherence to coding standards and providing feedback to team members.
  • Create complex test plans, identify test gaps, and proactively address defects to minimize customer impact.
  • Leverage data analysis and monitoring standards to identify patterns and defects in all environments.
  • Respond to incidents during on-call rotations, troubleshoot complex issues, and assist in incident response and resolution.
  • Build, enhance, and identify new developer tools to support programs and applications.
  • Proactively seek new knowledge and adapt to trends and technical solutions to improve product performance and recommend resources to other engineers.
  • Lead collaboration across Development, QA, DevOps, Product, Architecture, and Production Support teams.
  • Own product delivery and product quality.
  • Influence engineering standards, improve processes, and drive continuous improvement initiatives.

Desired Qualifications

  • Demonstrated ability to drive adoption of generative AI and AI-assisted engineering practices to improve solution design, development, testing, troubleshooting, and operational efficiency.
  • Experience promoting secure, responsible, and compliant use of generative AI technologies while maintaining code quality, data protection, intellectual property, and compliance standards.
  • Demonstrated ownership across the full software development lifecycle, including development, quality engineering, automation, deployment, production validation, and production support.
  • Strong understanding of software quality practices, including shift-left testing, automated testing, performance testing, defect management, and root cause analysis.
  • Ability to lead collaboration across Development, QA, DevOps, Product, Architecture, and Production Support teams.
  • Demonstrated ownership of both product delivery and product quality.
  • Experience mentoring engineers in development, testing, automation, troubleshooting, and modern engineering practices.
  • Ability to influence engineering standards, improve processes, and drive continuous improvement initiatives.

About the Company

Visa

Runs a global network for digital payments

Visa runs a global payment network that connects banks, merchants and consumers so card purchases and money transfers move between financial institutions. Its VisaNet system handles authorization, clearing and settlement, linking the bank behind a buyer's card with the bank that accepts a merchant's payment. The company earns fees from payment activity, transaction processing and international transactions, and sells fraud prevention tools, payment software and consulting services to businesses. Banks and other partners issue Visa branded cards and use its technology to build their own payment products. Visa traces its roots to a Bank of America card program launched in 1958 and is headquartered in San Francisco.

Company size
10,001+
Company stage
N/A
Total funding
$24.2M
Headquarters
San Francisco, CA
Founded
1958

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