Staff Security Engineer
New
Q
Quanata, LLCAI security
You may work from anywhere you like in the U.S, excluding U.S. territories, Core meeting hours from 9AM - 2PM Pacific timeFull-TimeStaff
Salary$290,000 to $400,000
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Job Details
- Experience
- 8+ years of experience in full-stack security, product security, application security, cloud security, DevSecOps, infrastructure security, or software engineering with significant security responsibilities; 5+ years of demonstrated experience working with AI, machine learning, LLM, GenAI, or AI-enabled application environments
- Required Skills
- AWSCI/CD
Requirements
- Bachelor’s degree in Computer Science, Cybersecurity, Engineering, Information Systems, or a related technical field, or equivalent relevant education and experience.
- 8+ years of experience in full-stack security, product security, application security, cloud security, DevSecOps, infrastructure security, or software engineering with significant security responsibilities.
- 5+ years of experience working with AI, machine learning, LLM, GenAI, or AI-enabled application environments.
- Experience securing, assessing, building, integrating, or operating AI-enabled systems.
- Experience conducting security architecture reviews, threat modeling, secure design reviews, code or configuration reviews, and risk assessments.
- Experience evaluating and securing third-party SaaS platforms, AI tools, model providers, developer tools, APIs, integrations, and vendor-managed services.
- Hands-on experience securing cloud-native environments, preferably AWS, including IAM, networking, logging, monitoring, secrets management, workload identity, and infrastructure-as-code.
- Understanding of CI/CD pipelines, source control, build systems, artifact management, deployment automation, container security, and software supply chain risk.
- Working knowledge of AI security risks, including prompt injection, data leakage, RAG security risks, insecure agent permissions, model abuse, and AI supply chain concerns.
- Ability to translate AI and cloud security risks into engineering requirements, controls, standards, detections, and operational procedures.
- Ability to lead complex cross-functional security initiatives independently.
Responsibilities
- Partner with engineering and product teams to embed security into AI-enabled products, applications, APIs, services, and platforms.
- Lead threat modeling, security architecture reviews, and risk assessments for AI systems, integrations, and third-party tools.
- Define and implement secure AI engineering patterns, guardrails, standards, and reference architectures.
- Strengthen AWS-native infrastructure and CI/CD environments, including infrastructure-as-code, containerized workloads, secrets management, and deployment pipelines.
- Partner with security operations, detection engineering, incident response, and vulnerability management teams to improve detection, telemetry, and response capabilities.
- Evaluate AI applications, SaaS platforms, model providers, developer tools, and other third-party technologies for security, privacy, and operational risks.
- Develop security guidance, training, and enablement materials for engineering and business teams.
- Lead security-by-design initiatives, translate security objectives into technical requirements, and drive security projects and incident response efforts.
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