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About the Company Armada is the hyperscaler for the edge, delivering modular AI infrastructure from first deployment to AI factory with speed, scale and sovereignty. Named one of Fast Company's Most Innovative Companies and to the CNBC Disruptor 50, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense.  With nearly $500 million in funding to date, Armada is backed by leading investors including Founders Fund, Lux, BlackRock and Microsoft (M12), alongside strategic partnerships with Microsoft, Dell, Palantir, NVIDIA, SpaceX, and Skydio. We are building the infrastructure layer for sovereign and edge AI - rugged, deployable compute for customers that cannot rely on centralized cloud. Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world.     About the Role You will own security engineering across our Azure cloud, hybrid infrastructure, and edge computing platform. The work is hands-on: building detections, testing our own applications, hardening Kubernetes, and putting controls into CI/CD. You will also help define how we secure AI/ML workloads running at the edge.     Location. This role is office-based at our Bellevue, Washington office.    What You'll Do (Key Responsibilities) Cloud and Infrastructure Security   Design and implement security architecture across Azure, hybrid infrastructure, and edge deployments   Manage SIEM (Microsoft Sentinel), EDR/XDR, WAF, email security, and CSPM/CNAPP tooling   Write and tune detection rules, correlation logic, and automated response playbooks   Lead incident response from triage through containment and remediation   Offensive Security and Assessment   Perform security assessments, vulnerability scanning, and penetration testing across cloud, infrastructure, and application layers   Test web applications and APIs for authentication and authorization flaws, business logic abuse, and OWASP Top 10 issues   Threat model new services and architectures before they ship   Own the vulnerability lifecycle: risk-based prioritization, SLA tracking, and remediation follow-through with owning teams   Maintain SAST, DAST, SCA, secrets scanning, IaC scanning, and container image scanning into CI/CD as automated gates   Harden the software supply chain: build provenance, artifact signing, SBOM generation, dependency governance   Enforce guardrails as policy-as-code using Azure Policy, OPA/Gatekeeper, or Kyverno   Review designs and code with engineering teams and support secure deployments    AI/ML Security   Secure AI/ML development and deployment, including model and data supply chain integrity, inference endpoint exposure, prompt injection and agentic tool abuse, and training data governance   Governance   Maintain security policies, standards, and procedures aligned to NIST, ISO 27001, and SOC 2   Produce audit evidence and support customer security assessments   Track emerging threats and turn them into roadmap work     Required Qualifications: Bachelor's degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience   5+ years in information security, including 3+ years focused on cloud security   Strong hands-on experience with Azure security services including Defender for Cloud,