50 минут назад
Senior DevSecOps Engineer (AI)
150 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior DevSecOps Engineer (AI): Building secure cloud, container, and CI/CD infrastructure for a video knowledge management platform with an accent on threat modeling, automated security testing, and policy-as-code governance. Focus on securing AWS and Kubernetes environments, integrating AI-assisted security tools, automating vulnerability triage, and leading incident response.
Location: Remote - US
Salary: $150,000–$170,000 USD per year, plus eligibility for a bonus.
Company
provides a video knowledge management platform that helps universities and businesses capture, manage, search, and share learning content.
What you will do
- Lead threat modeling assessments for new features across AWS services and guide secure application design.
- Build and maintain SAST, DAST, and SCA security testing frameworks in CI/CD pipelines.
- Design and manage security guardrails for AWS environments, Kubernetes clusters, Docker containers, and infrastructure-as-code deployments.
- Implement policy-as-code and automated compliance controls for ISO 27001, SOC 2, and TX-RAMP requirements.
- Evaluate AI-assisted tools for code review, log analysis, and vulnerability triage, while defining secure usage guidelines for developer AI tools.
- Investigate security incidents, perform root-cause analysis, and mentor developers on secure coding and vulnerability remediation.
Requirements
- 7+ years of experience in security engineering, DevSecOps, software development, or cloud infrastructure security.
- Hands-on experience securing multi-account AWS environments and infrastructure-as-code deployments, including IAM, encryption, Network Security, Security Hub, and GuardDuty.
- Strong experience integrating security tools into CI/CD pipelines and writing automation scripts in Python or Bash.
- Experience with Docker or ECS/Fargate, Kubernetes, Terraform, CloudFormation, or CDK.
- Proven ability to execute threat modeling, address OWASP Top 10 vulnerabilities, and translate compliance requirements into automated engineering checks.
- Demonstrated use of AI tools and experience securing AI systems, AI supply chains, or AI-assisted workflows.
Nice to have
- CISSP, AWS Certified Security – Specialty, or Certified Kubernetes Security Specialist certification.
- Experience securing video streaming architectures or high-scale backend services.
- Experience implementing policy-as-code frameworks in regulated SaaS environments.
Culture & Benefits
- Remote-first work environment with remote eligibility for this position.
- Collaboration across engineering disciplines, including DevOps, design, architecture, and accessibility.
- Health insurance, flexible spending accounts, retirement savings, life and disability insurance.
- Paid and unpaid time away from work and market-competitive employee benefits.
- Values include customer focus, shared learning, ownership, clarity, and continuous improvement.
Hiring process
- Application review followed by a recruiter call.
- Video interview and assessment, then a hiring manager call and interview loop.
- Debrief and offer.
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