Senior Cloud Security Engineer – Hybrid, Multi-Cloud

Dragonfli Group

Senior Cloud Security Engineer at Dragonfli Group, implementing security strategies for federal agencies with hybrid cloud environments. Design automated security solutions ensuring compliance and threat detection.

Posted 5/8/2026full-time🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudCyber SecurityTerraform

About the role

Key responsibilities & impact

Design and implement automated compliance assessments to enforce hardening standards such as CIS and NIST across cloud accounts and on-premises virtualized environments
Architect and maintain data-at-rest and data-in-transit encryption strategies spanning physical data center servers and cloud-native storage
Develop and secure an enterprise Identity Fabric supporting 600,000+ employees and millions of commercial customers, integrating fraud detection signals from SIEM and big data analytics platforms
Build and manage secure hybrid connectivity solutions including Transit Gateways and Service Mesh between on-premises hypervisors and multi-cloud environments, enforcing consistent policy across all tenants
Partner with the SOC to develop high-fidelity detection logic and build SOAR playbooks that automate the isolation of compromised cloud workloads and on-premises virtual machines
Support ongoing Purple Team exercises and control testing to validate the performance of security tools including EDR, WAF, and DLP across all environments
Establish security guardrails for enterprise and customer-facing AI models, including protections for Databricks training pipelines against data poisoning and mitigations for LLM-specific threats such as prompt injection and sensitive data leakage
Drive the transition from manual security operations to autonomous, ML-triggered auto-remediation across hybrid environments using advanced SOAR playbook development
Discover and catalog Shadow AI usage across the enterprise, ensuring all third-party AI tools meet privacy and security standards
Partner with business units to integrate security controls invisibly into logistics and retail workflows, enabling continuous and programmatic compliance with PCI, SOC 2, and related frameworks
Build API-driven automation to connect disparate security and business applications, reducing manual friction and enabling self-healing security operations
Communicate AI-driven security decisions and false positive handling clearly to non-technical stakeholders and program leadership

Requirements

What you’ll need

8 or more years of experience in a technical cybersecurity engineering role
Minimum 4 years of hands-on experience focused on large-scale cloud or hybrid multi-cloud environments
Demonstrated experience managing environments with 10,000 or more workloads and high-availability requirements
Expert-level proficiency in security architecture across AWS, Azure, and Google Cloud
Hands-on experience with Infrastructure as Code tools such as Terraform, Ansible, or CloudFormation
Demonstrated portfolio of projects in which AI or machine learning was directly applied to solve security or operational scaling problems
Experience with CI/CD and GitOps workflows treating security configurations as deployable, testable code
B.S. or M.S. in Computer Science, Information Security, or a closely related technical field
U.S. Citizenship or Permanent Residency required
All work must be performed within the continental United States

Benefits

Comp & perks

Comprehensive health, dental, and vision coverage for employees and eligible dependents
Generous PTO accrual plus all 11 federally recognized holidays
Competitive employer match to support your long-term financial goals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

cybersecurity engineeringcloud environmentssecurity architecturedata encryptionIdentity FabricSOAR playbooksAPI-driven automationInfrastructure as CodeCI/CDGitOps

Soft Skills

communicationcollaborationproblem-solvingproject managementstakeholder engagement