Cybersecurity Engineer - Pismo

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

2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

Preferred Qualifications

3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)

5+ years of experience in cybersecurity, with hands‑on responsibility for cloud or platform security.

Demonstrated experience securing production workloads across multiple cloud providers (AWS, Azure, and/or GCP).

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 needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for this position is 123,700.00 to 191,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.