Visa

2 months ago

Lead Software Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Lead development of AI-powered data and software capabilities for the Visa Acceptance Platform, turning GenAI/LLM concepts into production-ready products with measurable impact. Collaborate with cross-functional partners across product, security, and business teams, define architecture and technical standards, and mentor engineers through reusable code patterns. Drive observability, data quality, testing strategy, and release practices while evolving platform capabilities for banking, fintech, and integration partners.

Location: Bellevue

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Design, build, and ship AI-powered features and tools for Visa’s acceptance platform.
•Convert AI concepts into working products with clear success metrics and measurable impact.
•Provide technical expertise and mentor others on extensible, maintainable, reusable code and coding patterns.
•Ensure data management governance and data quality across products.
•Define technical standards/architecture, establish unit testing requirements, and strategically lead user acceptance testing with customers across domains.

Travel: Low travel

Pay and Benefits

Salary: USD 173,100 - 276,800 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kFsa/hsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•10+ years of relevant work experience with a Bachelor’s degree (or equivalent advanced degree/PhD experience).
•Strong understanding of GenAI technologies and experience building a product using any LLM.
•Experience with CI/CD pipelines and tools such as Git, Maven, Jenkins, Chef, Sonar, and JUnit.
•Experience with Agile and Test-Driven Development methodology, including building and pushing code into production.
•Deep expertise across SDLC, testing strategies, automation, deployment, release strategies, and observability (monitoring, logging, alerting).

Experience:10+ years

Education:Bachelor's

Skills:Cross-functional collaborationMentorshipIdea leadershipEngineering excellenceTechnical leadership

Tech Stack:GenAILLMCI/CDGitMavenJenkinsChefSonarJUnitAgileTest-Driven DevelopmentObservabilityMonitoringLoggingAlertingSDLC

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: 3.8

Website LinkedIn Glassdoor

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Visa

2 months ago

Lead Software Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Bellevue

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Design, build, and ship AI-powered features and tools for Visa’s acceptance platform.
•Convert AI concepts into working products with clear success metrics and measurable impact.
•Provide technical expertise and mentor others on extensible, maintainable, reusable code and coding patterns.
•Ensure data management governance and data quality across products.
•Define technical standards/architecture, establish unit testing requirements, and strategically lead user acceptance testing with customers across domains.

Travel: Low travel

Pay and Benefits

Salary: USD 173,100 - 276,800 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kFsa/hsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•10+ years of relevant work experience with a Bachelor’s degree (or equivalent advanced degree/PhD experience).
•Strong understanding of GenAI technologies and experience building a product using any LLM.
•Experience with CI/CD pipelines and tools such as Git, Maven, Jenkins, Chef, Sonar, and JUnit.
•Experience with Agile and Test-Driven Development methodology, including building and pushing code into production.
•Deep expertise across SDLC, testing strategies, automation, deployment, release strategies, and observability (monitoring, logging, alerting).

Experience:10+ years

Education:Bachelor's

Skills:Cross-functional collaborationMentorshipIdea leadershipEngineering excellenceTechnical leadership

Tech Stack:GenAILLMCI/CDGitMavenJenkinsChefSonarJUnitAgileTest-Driven DevelopmentObservabilityMonitoringLoggingAlertingSDLC

Company Brief

Visa

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: 3.8

Website LinkedIn Glassdoor