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Protect identities, stop threats, and deliver dynamic access to empower and secure a work-from-anywhere world.
Senior Software Engineer, AI Security Platform
Location
United States
Posted
111 days ago
Salary
0
Seniority
Senior
Job Description
Senior Software Engineer, AI Security Platform
BeyondTrust
• Build AI-Powered Security Systems • Develop practical prompts, workflows, and guardrails for AI-assisted development • Deliver Applications to Production • Take applications from concept to production by applying strong engineering principles • Build and operate CI/CD pipelines, containerized deployments, infrastructure as code, and secure release processes • Build Security Data Pipelines • Design and implement data ingestion pipelines that collect and normalize security telemetry • Improve Detection & Response • Integrate AI-driven insights into security platforms and build automation for analysts • Collaborate Across Engineering and Security • Partner with security teams, engineers, and data scientists to identify detection and automation opportunities • Research Emerging AI & Security Techniques • Stay current on threat techniques, prototype new approaches, and contribute to innovation
Job Requirements
- 7+ years of experience in software engineering or security engineering
- Experience building production systems using machine learning or large-scale analytics
- Background working with security telemetry, threat detection, or behavioral analytics is strongly preferred
- Experience using AI-assisted development tools (GitHub Copilot, Claude, or similar AI-assisted development tools) in real-world software delivery
- Strong programming skills in Python, Go, Java, Rust, or similar
- Experience designing distributed systems and microservices
- Experience building high-scale data processing systems
- Familiarity with modern attack techniques and security detection methods
- Experience with security platforms such as SIEM, EDR, cloud security platforms, or identity systems
- Experience building systems in AWS, Azure, or GCP
- Familiarity with containers, Kubernetes, and CI/CD pipelines
- Experience working with large-scale datasets and distributed data processing
- Familiarity with streaming or batch processing technologies
- CISSP, OSCP, Security+, or other security certifications preferred
- Cloud certifications (AWS, Azure, GCP)
- Machine learning coursework or certifications
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
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