10Alabs~1mo ago

Security Engineer

United States·New Yorkmid

EngineeringSecuritySecurity EngineerCybersecurity

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Quick Summary

Requirements Summary

Degree in Computer Science, Engineering, Cybersecurity, or a related field — or equivalent professional experience. 3+ years of hands-on experience in security engineering, application security,

Technical Tools

EngineeringSecuritySecurity EngineerCybersecurity

Conduct threat modeling, vulnerability assessments, and red-team style testing of AI-related systems.
Design and implement security controls across infrastructure, applications, and data pipelines.
Build, operate, and maintain detection, monitoring, and incident response capabilities, including investigating incidents and driving remediation.
Collaborate with engineers and researchers to embed security best practices into the design and deployment of AI systems.
Develop automation, tooling, and documentation to improve security operations and reduce manual effort.
Stay current on emerging threats — particularly those related to AI/ML, cloud, and large-scale distributed systems.

Brings deep experience in cybersecurity, threat detection, or a related area.
Thrives in fast-moving, high-impact environments such as startups, AI research labs, or security-focused teams.
Enjoys tackling complex, ambiguous problems and adapts quickly as priorities evolve.
Takes initiative, communicates openly, and consistently pushes themselves — and their team — to deliver high-quality results.
Works effectively both independently and collaboratively, contributing to team goals while managing projects with accountability.
Can clearly communicate technical security concepts and risk trade-offs to both engineering and non-technical audiences.

Requirements

~1 min read

Degree in Computer Science, Engineering, Cybersecurity, or a related field — or equivalent professional experience.
3+ years of hands-on experience in security engineering, application security, detection & response, or penetration testing.
Proficient in pertinent programming/scripting languages (e.g., Python, Go, bash/ powershell, etc.).
Strong knowledge of secure software development practices, including threat modeling, code review, and DevSecOps principles.
Solid understanding of cloud security concepts (IAM, VPCs, encryption, logging/monitoring) and secure deployment practices.
Familiarity with modern infrastructure, containerization (Docker, Kubernetes), and scalable distributed systems.
Experience effectively communicating complex security topics to technical and non-technical stakeholders.

Nice to Have

~1 min read

Hands-on experience securing AI/ML systems, data pipelines, or large-scale distributed environments.
Background in offensive security (exploit development, red teaming, adversary simulation).
Familiarity with AI-specific risks such as prompt injection, model theft, data poisoning, or adversarial ML.