Senior Cloud Security Engineer (Hybrid/Multi-Cloud)

GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk. By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation’s top organizations, such as Fortune 500 companies and U.S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk.

Senior Cloud Security Engineer (Hybrid/Multi-Cloud) - REMOTE, Work will be remote with candidates located in Morrisville, NC; Falls Church, VA; or Eagan, MN given preference. Non-local support will be considered for highly qualified candidates.
As a Senior Cloud Security Engineer, you will directly implement technical strategy for securing a massive hybrid ecosystem comprising 30,000+ physical sites and diverse multi-cloud tenants. You will be responsible for building the automated "guardrails" that protect our assets, data, and identity fabric across private data centers and public cloud environments. Your mission is to ensure a high-quality security posture through continuous efficacy assessments, fraud mitigation, and proactive threat detection.

Responsibilities

• Security Posture & Compliance Automation: Design and implement automated compliance assessments to enforce hardening standards (CIS, NIST) across cloud accounts and on-premises virtualized environments.
• Asset & Data Security: Architect and maintain the security of our sprawling asset inventory. Implement data-at-rest and data-in-transit encryption strategies that span from physical data center servers to cloud-native storage.
• Identity & Fraud Mitigation: Develop and secure the "Identity Fabric" linking 600k+ employees and millions of commercial customers. Collaborate with Fraud teams to integrate signals from SIEM and Databricks to detect and block malicious account activity.
• Hybrid Engineering: Build and manage secure connectivity (Transit Gateways, Service Mesh) between on-premises hypervisors and multi-cloud environments, ensuring consistent policy enforcement.
• Threat Detection & Response: Partner with the SOC to develop high-fidelity detection logic. Build SOAR playbooks that automate the isolation of compromised cloud workloads or on-premises VMs.
• Efficacy Assessment: Support ongoing "Purple Team" exercises and control testing to validate that security tools (EDR, WAF, DLP) are performing as intended across all tenants.
• AI/ML Security Governance (Adversarial Defense): Establish security guardrails for the enterprise’s internal and customer-facing AI models. This includes protecting Databricks training pipelines from data poisoning and implementing mitigations for LLM-specific threats like prompt injection and sensitive data leakage.
• Hyper-Automation of Security Operations: Drive the transition from manual "click-to-operate" security to Autonomous Security Operations. This involves building advanced SOAR playbooks that use ML-based triggers to perform auto-remediation across hybrid environments without human intervention.
• Business Process Streamlining: Partner with business units to integrate security "invisibly" into their workflows. Use automation to reduce "security friction" in logistics and retail operations, ensuring that compliance checks (like PCI or SOC2) are performed continuously and programmatically.
• AI Asset Management: Discover and catalog "Shadow AI" usage across the enterprise, ensuring all third-party AI tools meet the enterprise’s privacy and security standards.

Requirements

• Cloud Fluency: Expert-level knowledge of security architectures in AWS, Azure, and Google Cloud.
• Infrastructure as Code (IaC): Mastery of Terraform, Ansible, or CloudFormation to deploy and manage security configurations at massive scale.
• Big Data Analytics for Security: Ability to leverage Databricks to perform deep-dive analysis on billions of logs for threat hunting and efficacy reporting.
• Container & Orchestration Security: Experience securing Kubernetes (EKS/AKS/GKE) and Docker environments, focusing on runtime protection and image integrity.
• Identity Mastery: Proficiency with OAuth 2.0, SAML, and CIAM solutions for large-scale customer and employee authentication.
• Security Data Science: Proficiency in using Python (PySpark/Pandas) within Databricks to build custom anomaly detection models that go beyond standard SIEM correlation rules.
• Generative AI Security: Knowledge of the OWASP Top 10 for LLMs and experience implementing AI gateways or "firewalls" to monitor and filter AI-generated traffic.
• API-First Automation: Deep expertise in building "glue code" that connects disparate COTS and custom applications via se