Sr. SW Engineer - (3-5 yrs of experience, QA Automation, SRE/Reliability, AI/Agentic Development, Endpoint Engineering)

Job description

About UsVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Job Description Visa Corporate IT has embarked on a major transformation journey to become an engineering-first organization where reliability, automation, quality, customer experience, and end-user productivity are central to how we operate. As part of this transformation, Corporate Reliability Engineering is focused on shifting from reactive support to proactive, predictive, and preventative engineering practices that reduce operational toil, improve service reliability and release quality, and enable scalable support across Visa's global workforce. The Agentic QA Automation Developer, Corporate Reliability Engineering will be responsible for designing, building, testing, and maintaining automation solutions that eliminate manual QA effort and improve the quality, reliability, and release readiness of Visa's enterprise workstation environment. This role will develop automated validation frameworks, intelligent workflows, reusable test components, integrations, and human-in-the-loop solutions that validate software releases, operating system updates, endpoint configurations, security controls, drivers, and enterprise applications across Windows and macOS. This role is an Individual Contributor I5 / mid-to-senior developer position for a hands-on engineer with strong software development, test automation, performance engineering, and endpoint platform experience. The successful candidate will build, test, implement, and support automated functional, regression, compatibility, performance, and release certification solutions across multiple laptop models, operating system versions, and enterprise workstation configurations. Visa's Agentic Toolchain materials describe agentic work as more than using AI for individual tasks; it includes persistent sessions, shared context, built-in quality gates, human approval points, telemetry, reusable artifacts, and lifecycle support from implementation through testing, release readiness, operational handoff, and measurable outcomes. This role will apply those principles to QA and CRE use cases where automated validation, reliability, traceability, and operational accountability are critical. Key Focus Areas:                                                                                                         The ideal candidate should be passionate about: Agentic Workflow Development: • Agentic Automation Design: Design, build, and maintain agentic workflows that support CRE operational outcomes, including incident reduction, automated triage, knowledge retrieval, service health analysis, and repeatable remediation patterns. • Human-in-the-Loop Engineering: Create workflows that combine automation with clear human approval gates, decision points, auditability, and escalation paths where required. • Reusable Agentic Components: Develop reusable prompts, scripts, workflow templates, APIs, connectors, and automation modules that can be applied across multiple CRE-supported services. • Persistent Context and Knowledge Reuse: Build solutions that preserve operational context, decisions, outputs, and lessons learned so teams do not repeatedly start from scratch. Software Engineering and Automation: • Code Development: Create extensible, maintainable, and secure code for automation services, workflow components, scripts, and integrations. • API and Systems Integration: Build integrations with approved enterprise platforms, support tools, telemetry sources, knowledge repositories, workflow systems, and GenAI/agentic platforms. • Automation of Operational Toil: Identify repetitive manual tasks across CRE and convert them into reliable automation patterns that improve speed, consistency, and scalability. • CI/CD and Release Practices: Contribute to automated validation, deployment readiness, and controlled release practices for agentic workflows and automation solutions. Reliability Engineering and Operational Automation • Predictive and Preventative Engineering: Develop solutions that help identify patterns, risks, and recurring issues before they become widespread incidents. • Incident and Problem Management Enablement: Build tools and workflows that improve triage, root cause analysis, known error detection, remediation recommendations, and post-incident learning. • Service Health and Telemetry: Use operational data, logs, metrics, ticket trends, and user-experience signals to inform automation opportunities and measure effectiveness. • Continuous Improvement: Partner with CRE teams to identify reliability gaps, automation opportunities, and process improvements that reduce incidents, escalations, and manual support effort. Endpoint Release Validation and Quality Engineering • Automated Release Certification: Design and build automated validation frameworks that certify workstation releases before production deployment and provide evidence-based go/no-go recommendations. • F