Zolon Tech Solutions Inc

Senior Cloud Security Engineer

Falls Church, Virginia, USA · Senior · Contract

Sponsorship not specifiedDetected 71 days ago

PythonDatabricksAWSAzureCloud PlatformsDockerKubernetesTerraformAnsibleCI/CDRESTOAuthMachine LearningPandasData AnalysisData ScienceLLMsCybersecuritySIEMSOARSOC OperationsDetection EngineeringComplianceLogistics

About the role

Your mission is to ensure a high-quality security posture through continuous efficacy assessments, fraud mitigation, and proactive threat detection.
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.

Responsibilities

Design and implement automated compliance assessments to enforce hardening standards (CIS, NIST) across cloud accounts and on-premises virtualized environments.
Collaborate with Fraud teams to integrate signals from SIEM and Databricks to detect and block malicious account activity.
Drive the transition from manual "click-to-operate" security to Autonomous Security Operations.
Partner with business units to integrate security "invisibly" into their workflows.
Mastery of Terraform, Ansible, or CloudFormation to deploy and manage security configurations at massive scale.
Asset & Data Security: Architect and maintain the security of our sprawling asset inventory.
Threat Detection & Response: Partner with the SOC to develop high-fidelity detection logic.
Hyper-Automation of Security Operations: Drive the transition from manual "click-to-operate" security to Autonomous Security Operations.
Business Process Streamlining: Partner with business units to integrate security "invisibly" into their workflows.
Infrastructure as Code (IaC): Mastery of Terraform, Ansible, or CloudFormation to deploy and manage security configurations at massive scale.

Requirements

Proficiency with OAuth 2.0, SAML, and CIAM solutions for large-scale customer and employee authentication.
Proficiency in using Python (PySpark/Pandas) within Databricks to build custom anomaly detection models that go beyond standard SIEM correlation rules.
Knowledge of the OWASP Top 10 for LLMs and experience implementing AI gateways or "firewalls" to monitor and filter AI-generated traffic.
The ability to explain to non-technical stakeholders how AI-driven security decisions (like blocking a suspicious $1M commercial transaction) are made and how to handle "false positives" at scale.
B.S. or M.S. in Computer Science, Information Security, or a related technical field required.
Experience with CI/CD and GitOps workflows, treating security configurations as code that is automatically tested and deployed.
Required Knowledge, Skills, and Abilities (KSAs) Cloud Fluency: Expert-level knowledge of security architectures in AWS, Azure, and Google Cloud.
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.

Skills

Expert-level knowledge of security architectures in AWS, Azure, and Google Cloud.

Company info

Develop and secure the "Identity Fabric" linking 600k+ employees and millions of commercial customers.
Identity & Fraud Mitigation: Develop and secure the "Identity Fabric" linking 600k+ employees and millions of commercial customers.

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