Sr. Cybersecurity Engineer - Cloud

The Cybersecurity Engineer – Cloud is responsible for designing, implementing, and operating security controls that protect cloud‑native platforms and workloads across public cloud environments (AWS, Azure, GCP). The role partners closely with engineering, DevOps, and architecture teams to ensure cloud services are secure by design, compliant with regulatory requirements, and resilient at scale. This position combines hands‑on engineering, security architecture, and risk‑based decision‑making within complex, distributed, and regulated environments. In addition to cloud security responsibilities, this role provides security oversight and engineering support for AI‑enabled capabilities used across the Pismo platform. The engineer ensures that adoption of Artificial Intelligence and Large Language Models (LLMs) is aligned with Visa security controls, Pismo data‑protection principles, and global regulatory expectations. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Basic Qualifications: 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 Qualifications Experience operating in regulated or high‑availability environments is strongly preferred. Multicloud Security Expertise (Core Requirement) Proven ability to design, review, and implement security controls across multicloud environments, including: Cloud Identity and Access Management (IAM), least‑privilege access, and workload identity Network segmentation, service‑to‑service authentication, and mTLS Cloud encryption models and key management (KMS, HSM, certificate authorities) Experience with Cloud Security Posture Management (CSPM) and misconfiguration detection. Understanding of cloud‑native logging, monitoring, and detection capabilities Infrastructure, Container & Platform Security Hands‑on experience securing: Kubernetes and container platforms Container image scanning and runtime security Infrastructure‑as‑Code (Terraform, CloudFormation, ARM) Ability to embed security controls into CI/CD pipelines and platform guardrails. Familiarity with configuration‑drift detection and continuous compliance. Application & Data Protection Strong understanding of: API security (OAuth/OIDC, token‑based auth) Application‑level encryption, tokenization, and hashing Data protection across storage, database, and file‑system layers Ability to support secure software development lifecycle (SSDLC) practices, including SAST, SCA, and SBOM Risk, Compliance & Governance: Working knowledge of security and compliance frameworks such as PCI DSS, ISO 27001, SOC 2, GDPR, or NIST. Ability to translate security findings into risk‑based recommendations for engineering and leadership. Experience partnering with architecture, risk, and compliance teams Tools, Technologies & Certifications (Preferred): Experience with cloud‑security tooling (e.g., CSPM, container security, IAM platforms). Cloud or security certifications are preferred but not mandatory, including: CCSK / CCSP AWS, Azure, or GCP Security certifications CISSP or equivalent Continuous learning mindset aligned with evolving multicloud security practices. Deep Knowledge of LLM Platforms (Mandatory) Demonstrated hands‑on and architectural knowledge of enterprise‑grade AI and LLM platforms, including: Anthropic Claude OpenAI (ChatGPT, GPT APIs, enterprise offerings) Comparable LLM providers and managed AI services This includes understanding: Platform security models and shared‑responsibility boundaries API‑based consumption vs managed SaaS usage Enterprise controls for data handling, logging, and access enforcement Work Hours: Varies upon the n ... (truncated, view full listing at source)