Sr. Cybersecurity Engineer

Visa Visa · Fintech · Ashburn, VA

Visa's Cyber Security team is seeking a Cyber Security Engineer to design, build, and operate large-scale, cloud-native and AI-driven security platforms. The role involves applying GenAI and autonomous agent technologies to security challenges, including autonomous agents for cloud misconfiguration analysis, AI-assisted threat triage, and building agentic systems for remediation. The engineer will also focus on cloud security, automation, and threat detection.

What you'd actually do

  1. Design, develop, and operate large‑scale cyber security platforms that deliver detection, prevention, and response capabilities across cloud and hybrid environments.
  2. Build cloud‑native, API‑first security services using Python and modern web service frameworks.
  3. Develop and expand security integration frameworks to interconnect SIEM, CSPM, CNAPP, IAM, network security, and threat intelligence platforms.
  4. Drive security automation to minimize manual intervention and accelerate incident response workflows.
  5. Design and implement GenAI‑powered security workflows, including: Autonomous agents for cloud misconfiguration analysis, policy validation, and remediation recommendations; AI‑assisted threat triage, alert summarization, and root‑cause analysis; Intelligent enrichment of security signals using applied threat intelligence.

Skills

Required

  • Python
  • Cloud security engineering
  • API-driven architectures
  • Automation
  • GenAI solutions
  • Autonomous agents for cloud security
  • Cloud security controls across AWS, Azure, and/or GCP
  • Infrastructure-as-Code (IaC) using Terraform
  • Policy-as-Code (OPA/Rego, Sentinel, SCP, Azure Policy, GCP Organization Policies)
  • Threat intelligence
  • CSPM/CNAPP platforms
  • Security domains (firewalls, SIEM, etc.)
  • Technical leadership
  • Proof-of-concepts (POCs)

Nice to have

  • LLM
  • agent orchestration
  • AI governance frameworks
  • Wiz, Prisma Cloud, or Microsoft Defender for Cloud
  • GitOps

What the JD emphasized

  • GenAI and autonomous agent technologies
  • GenAI-powered security workflows
  • Autonomous agents
  • AI-assisted threat triage
  • agentic systems
  • LLM, agent orchestration, and AI governance frameworks
  • secure, compliant, and auditable use of GenAI
  • cloud security engineering
  • security automation
  • Infrastructure‑as‑Code (IaC)
  • Policy‑as‑Code and Guardrails
  • Threat intelligence ingestion and correlation
  • cloud security posture management (CSPM/CNAPP)

Other signals

  • Applying GenAI and autonomous agent technologies to modern security challenges
  • Design and implement GenAI-powered security workflows
  • Build and operate agentic systems