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BeyondTrust

Protect identities, stop threats, and deliver dynamic access to empower and secure a work-from-anywhere world.

Senior Software Engineer, AI Security Platform

Security EngineerSecurity EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 1985H1B SponsorCompany SiteLinkedIn

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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