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Senior Software Engineer, AI Security Platform
Location
Canada
Posted
72 days ago
Salary
0
Seniority
Senior
Job Description
Senior Software Engineer, AI Security Platform
BeyondTrust
Sr Software Engineer, AI Security Platform Information Security; Remote Canada | Remote United States 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. What You’ll Do 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. What You’ll Bring Education and Experience - 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 Nice To Have - 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
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Security Customer Experience Engineer II
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Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.




