Apple
Sr Security Operations (SecOps) Engineer
Austin, Texas · Senior · Full-time · Posted Oct 29, 2026
- Experience
- 8+ years in security engineering or related disciplines; 8+ years leading security reviews and risk assessments; 8+ years in application/cloud security and related areas; 5+ years securing production cloud environments; 5+ years programming or automation; 5+ years integrating security into engineering systems.
- Education
- Bachelors Degree in Computer Science or equivalent experience.
About the job
Leads hands-on security engineering across applications, cloud infrastructure, and engineering platforms, building reusable controls and automation while advising teams on architecture, risk, and AI-enabled system security.
What you'll do
- Lead security architecture reviews, threat modeling, risk assessments, and vulnerability management for complex systems.
- Build and integrate scalable DevSecOps controls, security tooling, and automation across engineering workflows.
- Evaluate AI-assisted security capabilities and help teams address risks in AI applications and agents.
What they ask for
- 8+ years in security engineering or a related discipline, including leading security reviews, threat modeling, and risk assessments.
- 8+ years in application and cloud security, IAM, network security, vulnerability management, and secure software development.
- 5+ years securing production environments in AWS, GCP, or another major cloud platform; 5+ years programming or automation experience.
- 5+ years integrating security into CI/CD, developer workflows, infrastructure-as-code, or production engineering systems; Bachelor’s Degree in Computer Science or equivalent experience.
Nice to have
- Experience with Kubernetes, containers, APIs, distributed architectures, and security controls in CI/CD or infrastructure-as-code.
- Experience with security automation, incident response, vulnerability management, AI/ML security, or relevant security certifications.
Tools
AWS, GCP, Kubernetes, Python, Go, Java, Terraform, CloudFormation
AI focus
Design and evaluate AI-assisted or agentic security capabilities for vulnerability analysis, reviews, incident investigation, and remediation; assess risks in AI/LLM applications and agents, including prompt injection, sensitive-data exposure, and excessive permissions.
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