Electronic Consulting Services, Inc (ECS Federal)
Sr Cloud Security Engineer (Hybrid/Multi-Cloud)
Falls Church, Virginia, USA · Senior · full-time
Sponsorship not specifiedDetected 71 days ago
PythonDatabricksAWSAzureCloud PlatformsDockerKubernetesTerraformAnsibleCI/CDRESTOAuthMachine LearningPandasData AnalysisData ScienceLLMsCybersecuritySIEMSOARSOC OperationsDetection EngineeringComplianceLogistics
About the role
- Job Description Everforth ECS is seeking a Senior Cloud Security Engineer to work in our Falls Church, VA office.
- 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.
- Infrastructure as Code (IaC): Mastery of Terraform, Ansible, or CloudFormation to deploy and manage security configurations at massive scale.
- Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.
Requirements
- Experience with CI/CD and GitOps workflows, treating security configurations as code that is automatically tested and deployed.
- Expert-level knowledge of security architectures in AWS, Azure, and Google Cloud.
- 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.
- Automation Portfolio: Experience with CI/CD and GitOps workflows, treating security configurations as code that is automatically tested and deployed.
- 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.
Company info
- Develop and secure the "Identity Fabric" linking 600k+ employees and millions of commercial customers.
Equal opportunity
- All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.
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