YO HR ConsultancyRemote
Sr Infrastructure Security Engineer - Remote
United States of America
Full Time
8 hours ago
$250,000 - $350,000 USD
Visa Sponsor
Key skills
Infrastructure securityAWSGCPAzurePythonGoRustInfrastructure as CodeTerraformPulumiCI/CD pipelinesIdentity systemsLeast privilegeZero Trust architecturesDetection ecosystemsSystems thinkingWriting communicationAIMLKubernetesCI/CDZero Trust
About this role
YO HR Consultancy is seeking an infrastructure security engineer who will design and evolve the security foundations of a fast-moving, AI-native organization. The role involves architecting security systems across multiple cloud platforms and building automated guardrails to enhance security while enabling rapid product iteration.
Responsibilities:
- Architect security systems across AWS, GCP, and Azure that scale with rapid product iteration
- Build automated guardrails and self-healing infrastructure to eliminate entire classes of vulnerabilities
- Design and implement Zero Trust primitives—identity, access, and policy as code—from first principles
- Develop Detection-as-Code pipelines, treating detection logic like production systems (versioned, tested, deployable)
- Explore and deploy AI-native approaches to threat modeling, anomaly detection, and incident response
- Partner closely with engineering and research teams to embed security into the development lifecycle
- Write clearly and think clearly—security decisions should be legible, reviewable, and composable
- Continuously rethink assumptions and evolve our security posture as new threats and paradigms emerge
Requirements:
- Deep experience securing distributed, multi-cloud systems (AWS, GCP, Azure)
- Strong programming ability (Python, Go, Rust, or similar) with a bias toward automation and systems thinking
- Experience with Infrastructure as Code (Terraform, Pulumi, etc.) and integrating security into CI/CD pipelines
- Strong understanding of identity systems, least privilege, and Zero Trust architectures
- Familiarity with modern detection ecosystems (e.g., Sigma, Panther, GuardDuty, SCC) and signal quality challenges
- A mindset that treats security as an engineering and systems problem—not compliance
- Comfort working in a highly asynchronous, writing-heavy, and fast-paced environment
- Experience securing Kubernetes and containerized workloads at scale
- Contributions to open-source security tools or research
- Experience applying or experimenting with AI/ML in security contexts
- Strong opinions about how security should evolve in an AI-first world