BeyondTrust - Sr Software Engineer, AI Security Platform
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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 • Software Engineering • 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 • Security Engineering • Familiarity with modern attack techniques and security detection methods • Experience with security platforms such as SIEM, EDR, cloud security platforms, or identity systems • Cloud & Infrastructure • Experience building systems in AWS, Azure, or GCP • Familiarity with containers, Kubernetes, and CI/CD pipelines • Data Engineering • Experience working with large-scale datasets and distributed data processing • Familiarity with streaming or batch processing technologies • Certifications Preferred • 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 • Better Together • Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected. • We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together. • BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders. • BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners. • Learn more at www.beyondtrust.com.
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. • 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. • 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.
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