Sr Software Engineer, AI Security Platform

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio. The role involves designing and building intelligent security systems using AI, machine learning, and automation to enhance the organization's security posture and threat detection capabilities.

Responsibilities:

• Build AI-Powered Security Systems
• Use tools such as GitHub Copilot and AI coding assistants to accelerate the development of secure applications and internal platforms
• Develop practical prompts, workflows, and guardrails that enable engineers with security expertise to use AI as an active development partner in building functional, secure software
• Apply AI-assisted development to accelerate coding, testing, documentation, refactoring, and threat-aware design reviews
• Deliver Applications to Production
• Take applications from concept to production by applying strong engineering principles across architecture, deployment, observability, and reliability
• Build and operate CI/CD pipelines, containerized deployments, infrastructure as code, and secure release processes
• Ensure systems are production-ready through monitoring, testing, operational readiness, and security-by-design practices
• Apply clear engineering and security principles, including least privilege, defense in depth, and scalable system design
• Build Security Data Pipelines
• Design and implement data ingestion pipelines that collect and normalize security telemetry from multiple sources
• Work with distributed data platforms and large-scale datasets to support analytics, detection, and AI-driven models
• Ensure secure and compliant handling of sensitive data throughout the pipeline lifecycle
• Improve Detection & Response
• Integrate AI-driven insights into security platforms such as SIEM, identity systems, and cloud security tools
• Build automation that assists analysts with alert triage, investigation, and remediation
• Help evolve security operations from reactive monitoring to proactive, intelligence-driven defense
• Collaborate Across Engineering and Security
• Partner with security teams, engineers, and data scientists to identify high-impact detection and automation opportunities
• Enable teams to embed security intelligence directly into products and infrastructure
• Contribute to architectural decisions that improve security posture at scale
• Research Emerging AI & Security Techniques
• Stay current on emerging threat techniques, adversarial AI, and machine learning applications in security
• Prototype and evaluate new detection approaches, models, and methodologies
• Contribute to innovation in AI-assisted security engineering and defense

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
• Cloud certifications (AWS, Azure, GCP)
• Machine learning coursework or certifications
• Machine learning
• Knowledge of identity security, behavioral analytics, or threat intelligence
• Experience with security automation or SOAR workflows
• Contributions to open-source security or machine learning projects