Visa · 8 hours ago
Staff SW Engineer - GenAI
Bellevue, WA
Full-time
Hybrid
Senior Level, Lead/Staff
$132K/yr - $210K/yr
5+ years expVisa is a world leader in payments and technology, and they are seeking a Staff Software Engineer to join their Technology Organization. The role involves designing, building, and shipping AI-powered tools that enhance the software development lifecycle, focusing on improving software quality and developer productivity.
BankingFinanceFinancial ServicesInformation TechnologyMobile PaymentsPayments
Responsibilities
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
Qualification
Required
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
Preferred
6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
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
Languages: Python, Java, JavaScript (React, Node.js, Express.js), Shell scripting
Frameworks: Spring Boot, React, Lang Chain, Lang Graph, JUnit, Jest, Jasmine, Rest Assured
DevOps Tools: Jenkins, Argo CD, GitHub Actions, GitLab CI, Docker, Docker-Compose, Helm, Kubernetes
AI/ML Tools: Open AI API, Anthropic, Claude Code, Cline, Copilot
Testing Tools: Playwright, Rest Assured, JUnit, Jest, Jasmine
Data and Messaging: Kafka, Hazel cast, MySQL, ETL tools (Clover)
Observability: Elasticsearch/OpenSearch, Grafana, Kibana, Prometheus
Cloud Platforms: AWS (preferred), Azure, or GCP
Performance Testing: Gatling, JMeter
Benefits
Medical
Dental
Vision
401 (k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness Program
Company
Visa
Visa is a multinational financial services company that facilitates electronic payment systems throughout the world.
10001+ employees
H1B Sponsorship
Visa has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (389)
2024 (424)
2023 (416)
2022 (515)
2021 (351)
2020 (407)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
TNB Financial Services
2016-09-10Post Ipo Equity
2008-03-19IPO
Leadership Team
Ryan McInerney
Chief Executive Officer
Chris Suh
EVP & Chief Financial Officer
Recent News
Digital Commerce 360
2025-12-30
2025-12-30
Company data provided by crunchbase