Sr Software Engineer, AI Security Platform

BeyondTrust

About The Position

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. Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself. The Role We are looking for a Senior Software Engineer specializing in AI and Security to help design and build the next generation of intelligent security systems. In this role, you will develop platforms and capabilities that use machine learning, behavioral analytics, and automation to detect threats, reduce risk, and strengthen the security posture of the organization. You will work at the intersection of security engineering, machine learning, and large-scale systems, helping transform security data into actionable insights and automated defenses. The ideal candidate enjoys solving complex problems, working with large datasets, and building production-grade systems that protect critical infrastructure. This role partners closely with security engineering, data science, product engineering, and cloud platform teams to deliver AI-driven capabilities that improve detection, investigation, and response across the enterprise. This role is expected to actively leverage AI-assisted development as a core part of how software is designed, built, and delivered.

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

Nice To Haves

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

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.