Sr. Cybersecurity Engineer - Cloud

Visa•Austin, TX

15h•Remote

About The Position

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.

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.
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
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.
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
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
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
Platform security models and shared‑responsibility boundaries
API‑based consumption vs managed SaaS usage
Enterprise controls for data handling, logging, and access enforcement

Nice To Haves

Experience operating in regulated or high‑availability environments is strongly 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.

Responsibilities

Designing, implementing, and operating security controls that protect cloud‑native platforms and workloads across public cloud environments (AWS, Azure, GCP).
Partnering closely with engineering, DevOps, and architecture teams to ensure cloud services are secure by design, compliant with regulatory requirements, and resilient at scale.
Providing security oversight and engineering support for AI‑enabled capabilities used across the Pismo platform.
Ensuring that adoption of Artificial Intelligence and Large Language Models (LLMs) is aligned with Visa security controls, Pismo data‑protection principles, and global regulatory expectations.