Staff SW Engineer

Visa•Foster City, CA

6d•$146,200 - $233,700•Hybrid

About The Position

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: Our Security Release and compliance Engineering team is seeking a Mid-Level AI-Native Software Engineer with a Cybersecurity focus to help build, secure, and maintain modern applications and platforms. This role combines software engineering, AI-assisted development, automation, vulnerability remediation, secure release engineering, and compliance support. The ideal candidate has a strong software development foundation, hands-on scripting or automation experience, and a passion for cybersecurity. You will work closely with application development, cybersecurity, infrastructure, cloud, database, middleware, and network teams to identify and remediate vulnerabilities, improve application security, and ensure systems meet functional, quality, compliance, and security requirements. As an AI-native engineer, you will use modern AI tools and automation techniques to improve secure coding, vulnerability analysis, remediation tracking, testing, documentation, and operational efficiency.

Requirements

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.
Programming or scripting experience with Python, JavaScript, TypeScript, Java, Go, Bash, PowerShell, or similar, with practical use of AI-assisted development, automation, LLMs, prompt engineering, AI agents, RAG, or AI-enabled workflows.
Knowledge of Windows, Unix/Linux, databases, middleware, firewalls, networking, IAM, cloud platforms, CI/CD, Docker, Kubernetes, Terraform, Ansible, AWS, Azure, or Google Cloud Platform.

Nice To Haves

Degree in Science, Engineering, or Computer Science, Information Systems or related field.
Experience with vulnerability management, secure coding, patching, compliance, remediation, and security testing practices such as SAST, DAST, SCA, secrets scanning, container scanning, and dependency scanning.
Hands-on experience using widely adopted AI tools such as GitHub Copilot, ChatGPT, Claude, Codex, Gemini, Cursor, Microsoft Copilot, or similar tools to improve coding, debugging, documentation, testing, automation, and security analysis.
Hands-on experience with software development, scripting, automation, application support, or security remediation.
Working knowledge of the software development lifecycle and secure software delivery practices.
Familiarity with security standards and frameworks such as NIST, ISO 27001, PCI DSS, SOC 2, FFIEC, GLBA, OWASP, and CIS Benchmarks.

Responsibilities

Own the security and compliance posture of applications and supporting systems, ensuring alignment with enterprise standards, regulatory requirements, and risk tolerance.
Drive end-to-end vulnerability management, including identification, prioritization, remediation, and closure of security findings, misconfigurations, and compliance gaps.
Lead cross-functional remediation efforts by partnering with development, cybersecurity, infrastructure, database, middleware, cloud, and network teams to resolve complex security issues at scale.
Design and implement automation and AI-enabled workflows to enhance vulnerability remediation, compliance tracking, reporting, and operational efficiency.
Enable secure release practices by overseeing remediation across OS, database, middleware, network, firewall, dependencies, and application layers within release cycles.
Conduct deep technical analysis of code, configurations, dependencies, logs, and system behavior to proactively identify security, quality, and reliability risks.
Maintain and evolve system and security architecture documentation, including topology, application dependencies, network controls, and access boundaries.
Establish and manage structured workflow tracking through JIRA or similar tools, ensuring visibility, prioritization, and timely closure of security-related workstreams.
Support audit and regulatory activities by leading evidence collection, validating compliance controls, and driving remediation of audit findings and security exceptions.
Evaluate and influence adoption of emerging technologies, including AI, cybersecurity, automation, and DevSecOps tools, through proofs of concept and recommendations.
Continuously improve secure engineering practices, contributing to the development of standards, controls, and scalable processes across teams.
Translate complex technical and security concepts into clear, actionable insights for both technical and non-technical stakeholders, enabling informed decision-making.