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Principal Security Engineer
Akamai TechnologiesPrincipal Security Engineer defining security architecture and leading AI-specific security initiatives for Akamai's inference platform. Collaborating with multiple engineering teams to ensure a robust security posture.
Posted 6/3/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesLead💰 $132,100 - $237,900 per yearWebsite
Tech Stack
Tools & technologiesCloudDistributed SystemsGoKubernetesPython
About the role
Key responsibilities & impact- Defining and owning the security architecture spanning Kubernetes infrastructure, inference runtimes, control plane APIs, and model lifecycle pipelines
- Establishing threat models, security standards, and hardening guidelines across all platform teams and ensuring consistent adoption through reviews and automated enforcement
- Leading security design reviews for critical systems including model serving environments, multi-tenant isolation, authentication and authorization frameworks, and data handling pipelines
- Driving AI-specific security initiatives including defense against prompt injection, model extraction, adversarial inputs, data poisoning, and model supply chain attacks
- Owning compliance readiness for regulatory frameworks (FedRAMP, SOC 2, GDPR), and emerging AI governance standards, partnering with legal and compliance teams
- Developing and maturing the platform's security incident response capabilities including detection, investigation, and remediation playbooks for both traditional and AI-specific threats
- Collaborating with Akamai's broader security organization to align inference platform security practices with enterprise standards and share learnings across product lines
Requirements
What you’ll need- 8 years of relevant experience and a Bachelor's degree or equivalent in Computer Science, Security Engineering, or a related field
- Deep expertise across application security, infrastructure security, and cloud-native security with experience as a security technical lead or architect
- Hands-on experience with AI/ML security challenges including model serving attack surfaces, prompt injection mitigation, and adversarial robustness
- Proven ability to define security architecture and threat models for complex distributed systems spanning multiple engineering teams
- Experience with compliance frameworks and the ability to translate regulatory requirements into engineering controls
- Proficiency in Python, Go, or similar languages with experience building security tooling, automation, or detection systems.
Benefits
Comp & perks- industry-leading benefits including healthcare
- 401K savings plan
- company holidays
- vacation (in the form of PTO)
- sick time
- family friendly benefits including parental leave
- employee assistance program including a focus on mental and financial wellness
- Eligibility requirements apply.
ATS Keywords
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Hard Skills & Tools
Kubernetesapplication securityinfrastructure securitycloud-native securityAI/ML securityPythonGosecurity architecturethreat modelssecurity tooling
Soft Skills
leadershipcollaborationcommunicationproblem-solvingorganizational skills
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Security EngineeringFedRAMP complianceSOC 2 complianceGDPR compliance