Visa-posted 1 day ago
Full-time • Mid Level
Hybrid • Bellevue, WA
5,001-10,000 employees

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions.

  • Design, build, and ship AI-powered tools that enhance the autonomous development lifecycle - from code commit to production deployment
  • Convert AI concepts into concrete, working products with clear success metrics and measurable impact
  • Build AI systems that improve software quality through intelligent code analysis, test optimization, and automated defect detection
  • Develop AI-powered log analysis tools that autonomously identify issues, patterns, and anomalies across build, test, and deployment phases
  • Create AI-driven solutions that provide deep insights into code quality, technical debt, and system performance
  • Build deployment log analysis capabilities that automatically detect and diagnose release issues in real-time
  • Implement one-click deployment and release automation with AI-powered validation and rollback capabilities
  • Develop independent release systems with integrated metrics, alerts, and intelligent decision-making
  • Solve engineering CI problems using AI agents - including build failures, automation failures, flaky tests, and code merge conflicts
  • Apply AI engineering mindset to break down complex automation visions into achievable, shippable milestones
  • Integrate with CI/CD platforms (Jenkins, GitLab, GitHub Actions, Argo CD) to automate test recovery, mock service generation, and code validation
  • Develop test automation frameworks and intelligent test analysis tools that evolve from basic classifiers to self-healing systems
  • Build audit trace systems to track AI decision-making, automated actions, and developer interventions across the SDLC
  • Create AI agent orchestration layers that manage autonomous workflows throughout the software development lifecycle
  • Design modular AI architectures that allow incremental feature additions and version upgrades
  • Develop web-based dashboards and visualization tools for monitoring AI agent performance, KPIs, and failure trends
  • Work cross-functionally with DevOps, QA, and Platform Engineering to improve system reliability and developer velocity
  • Conduct root cause analysis for automation failures and CI/CD regressions using data-driven and AI-based methods
  • Collaborate with product owners to gather requirements and ensure AI tools deliver practical value quickly
  • Drive continuous innovation in AI-driven developer productivity through research, prototype building, and production rollouts
  • Demonstrate strong execution - shipping working AI tools on schedule, iterating based on feedback and metrics
  • 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.
  • 6+ years of software engineering experience with strong background in AI systems and developer productivity tools.
  • Proven ability to design, build, and ship AI-powered solutions that enhance the autonomous development lifecycle, improve software quality, and solve CI/CD problems.
  • BS/MS/PhD in Computer Science, Software Engineering, Artificial Intelligence, or related technical field
  • 5+ years of experience designing or leading development of developer productivity tools, AI agents, or platform engineering systems
  • Proven track record of delivering AI solutions that enhance the autonomous development lifecycle and improve software quality
  • Demonstrated ability to build AI-powered tools for log analysis, deployment automation, and CI problem resolution
  • Experience creating independent release systems with one-click deployment capabilities and intelligent monitoring
  • Strong understanding of CI/CD pipelines, DevOps frameworks, and experience with Jenkins, GitLab CI, GitHub Actions, Argo CD, Docker, Kubernetes
  • Proven experience creating AI-assisted developer tools for mock service generation, log and trace analysis, root cause identification, and code merge conflict resolution
  • Skilled in developing backend and frontend components using Python, Java, Spring Boot, React, and Node.js
  • Strong knowledge of AI engineering methodologies with practical approach to production deployment and AI agent orchestration
  • Hands-on experience with AWS, GitOps, Helm, and Kubernetes for deployment and observability
  • Experience with QA automation (UI: Playwright, API: Rest Assured/Jest/Jasmine), ETL processes, and data pipelines
  • Proficiency with Kafka, Hazel cast, MySQL, Elasticsearch/OpenSearch, and log analysis frameworks is a plus
  • Demonstrated ability to convert AI concepts into working products and tools - from simple MVPs to complex production systems
  • Demonstrated experience developing automation and AI-assisted developer tools across build, test, and release cycles
  • Excellent problem-solving and analytical skills
  • Strong product mindset with ability to prioritize features and deliver incremental value
  • Pragmatic approach to AI development - knowing when to build simple vs. complex solutions
  • Ability to communicate technical concepts clearly and collaborate across engineering and product teams
  • Passion for innovation and building AI systems that empower engineers
  • Strong ownership mindset and curiosity to explore emerging AI technologies
  • Bias toward action and shipping - comfortable releasing v1 and iterating rather than over-engineering
  • Medical
  • Dental
  • Vision
  • 401 (k)
  • FSA/HSA
  • Life Insurance
  • Paid Time Off
  • Wellness Program
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