Cornerstone Research
Overview
We're looking for a
Cybersecurity Architect
is a hands-on role responsible for evaluating, designing, and implementing security and compliance controls. This position plays a critical role in protecting Cornerstone OnDemand (CSOD) from internal and external threats through architecture reviews and ongoing assessments to identify, interpret, and remediate vulnerabilities across our cloud environments. You will lead the design and implementation of security and compliance controls across our AI/ML and cloud ecosystems, partnering closely with engineering, data science, and platform teams to embed security-by-design principles. Hybrid in Santa Monica or Dublin, CA office Responsibilities
Design and implement controls for model training, fine-tuning, RAG workflows, agent/tool execution, and model serving on AWS (Bedrock, SageMaker, EKS) and GCP (Vertex AI, GKE). Establish LLM guardrails: prompt input/output filtering, content policy enforcement, tool permissioning, sensitive data protection, and output safety evaluation. Design and develop cloud security solutions in AWS and GCP environments and drive automation to secure critical and sensitive data, services, applications, and infrastructure across our organization. Drive threat modeling and secure coding practices; conduct secure code reviews and coach teams on remediation. Strengthen API and browser security: input validation, output encoding, CSRF/CORS, rate limiting, abuse prevention, and robust authZ models. Participate in architecture and design reviews with development/DevOps staff to incorporate effective security standards into design. Provide guidance on data analysis and reporting, including the use of complex analysis or machine learning. Integrates and builds upon existing automation, security operations, and monitoring systems. Stay abreast of security development practices, including research of current and evolving trends. Perform hands-on support for a wide range of security technologies including, but not limited to: Pipeline security, DevSecOps, CloudFormation templates, Docker, Kubernetes, SIEM, IPS, Vulnerability Scanners. Qualifications
Bachelor’s degree in an Information Technology-related field of study or equivalent 7+ years of experience in system, network, cloud security and risk management 2+ years securing AI/ML or LLM systems (training, fine-tuning, inference, or RAG) in production Strong knowledge of networking concepts, protocols (TCP/IP, HTTP, DNS, TLS) and technologies including firewalls, TLS, IDS/IPS, cryptographic systems, identity management systems, RADIUS, etc Experience working in multiple security domains such as cloud security, platform hardening, vulnerability management, web application and browser security, penetration testing, applied cryptography, network protocols and secure network design Good experience with a wide range of AWS or GCP tools and deep practical experience with AWS and Google Cloud Programming and automation: strong Python; working knowledge of Node.js; scripting and automation for pipelines and controls Experience implementing security practices in a CI/CD environment Ability to translate risk into actionable engineering work; excellent documentation and communication Excellent at multitasking, and open to constant learning Our Culture & About Us
Our Culture:
Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today. Who We Are:
Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today. Total Rewards:
At Cornerstone, we are dedicated to inspiring excellence and pushing boundaries in everything we do. Our compensation strategy is based on equitable pay, market-driven research, and skill-based appraisals. The listed salary range is one element of Cornerstone’s comprehensive compensation package, which may include annual bonuses, short- and program-specific awards, and a comprehensive benefits offering. The disclosed salary range reflects geographic differential based on location if applicable. The starting salary for the successful applicant will depend on factors such as education, training, experience, certifications, location, business needs, and market demands. This range is for a full-time position and may be adjusted in the future. The BASE salary range for this position is: 140800 - 225300 USD. Check us out on
LinkedIn ,
Comparably ,
Glassdoor , and
Facebook . Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, religion, color, gender, sex, age, sexual orientation, gender identity, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at careers@csod.com or +1 855 454 8433. Read the EEO is the Law poster here, and the supplementary poster here
#J-18808-Ljbffr
We're looking for a
Cybersecurity Architect
is a hands-on role responsible for evaluating, designing, and implementing security and compliance controls. This position plays a critical role in protecting Cornerstone OnDemand (CSOD) from internal and external threats through architecture reviews and ongoing assessments to identify, interpret, and remediate vulnerabilities across our cloud environments. You will lead the design and implementation of security and compliance controls across our AI/ML and cloud ecosystems, partnering closely with engineering, data science, and platform teams to embed security-by-design principles. Hybrid in Santa Monica or Dublin, CA office Responsibilities
Design and implement controls for model training, fine-tuning, RAG workflows, agent/tool execution, and model serving on AWS (Bedrock, SageMaker, EKS) and GCP (Vertex AI, GKE). Establish LLM guardrails: prompt input/output filtering, content policy enforcement, tool permissioning, sensitive data protection, and output safety evaluation. Design and develop cloud security solutions in AWS and GCP environments and drive automation to secure critical and sensitive data, services, applications, and infrastructure across our organization. Drive threat modeling and secure coding practices; conduct secure code reviews and coach teams on remediation. Strengthen API and browser security: input validation, output encoding, CSRF/CORS, rate limiting, abuse prevention, and robust authZ models. Participate in architecture and design reviews with development/DevOps staff to incorporate effective security standards into design. Provide guidance on data analysis and reporting, including the use of complex analysis or machine learning. Integrates and builds upon existing automation, security operations, and monitoring systems. Stay abreast of security development practices, including research of current and evolving trends. Perform hands-on support for a wide range of security technologies including, but not limited to: Pipeline security, DevSecOps, CloudFormation templates, Docker, Kubernetes, SIEM, IPS, Vulnerability Scanners. Qualifications
Bachelor’s degree in an Information Technology-related field of study or equivalent 7+ years of experience in system, network, cloud security and risk management 2+ years securing AI/ML or LLM systems (training, fine-tuning, inference, or RAG) in production Strong knowledge of networking concepts, protocols (TCP/IP, HTTP, DNS, TLS) and technologies including firewalls, TLS, IDS/IPS, cryptographic systems, identity management systems, RADIUS, etc Experience working in multiple security domains such as cloud security, platform hardening, vulnerability management, web application and browser security, penetration testing, applied cryptography, network protocols and secure network design Good experience with a wide range of AWS or GCP tools and deep practical experience with AWS and Google Cloud Programming and automation: strong Python; working knowledge of Node.js; scripting and automation for pipelines and controls Experience implementing security practices in a CI/CD environment Ability to translate risk into actionable engineering work; excellent documentation and communication Excellent at multitasking, and open to constant learning Our Culture & About Us
Our Culture:
Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today. Who We Are:
Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today. Total Rewards:
At Cornerstone, we are dedicated to inspiring excellence and pushing boundaries in everything we do. Our compensation strategy is based on equitable pay, market-driven research, and skill-based appraisals. The listed salary range is one element of Cornerstone’s comprehensive compensation package, which may include annual bonuses, short- and program-specific awards, and a comprehensive benefits offering. The disclosed salary range reflects geographic differential based on location if applicable. The starting salary for the successful applicant will depend on factors such as education, training, experience, certifications, location, business needs, and market demands. This range is for a full-time position and may be adjusted in the future. The BASE salary range for this position is: 140800 - 225300 USD. Check us out on
LinkedIn ,
Comparably ,
Glassdoor , and
Facebook . Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, religion, color, gender, sex, age, sexual orientation, gender identity, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at careers@csod.com or +1 855 454 8433. Read the EEO is the Law poster here, and the supplementary poster here
#J-18808-Ljbffr