Security Engineer at Productive Playhouse

Glendale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

125000.0

Posted On

07 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Security Engineering, Threat Modeling, Cloud Security, Container Security, CI/CD Security, Secrets Management, Compliance, Risk Mitigation, Incident Response, Vulnerability Assessment, Python, PyTorch, TensorFlow, LLM Architectures, ISO 27001, SOC 2

Industry

Information Services

Description

Position Overview Productive Playhouse is seeking a Security Engineer with hands-on AI/ML experience to lead and strengthen our security posture as we scale AI-driven transcription, translation, and quality assurance workflows across global operations. This role is critical to ensuring our AI systems, cleanroom environments, and enterprise infrastructure meet the highest standards of security, compliance, and client trust. The Security Engineer will serve as a technical leader bridging cybersecurity engineering and AI systems governance, designing resilient architectures, mitigating emerging AI threats, and enabling secure innovation across the organization. This position plays a key role in supporting enterprise client audits, ISO/SOC compliance initiatives, and internal AI governance frameworks. Key Responsibilities AI & ML Security Engineering Design and implement security controls for AI/ML pipelines, including model training environments, inference endpoints, and data preprocessing workflows Develop threat models specific to AI/ML systems (such as prompt injection, data poisoning, model extraction, and adversarial attack vectors) Build monitoring and anomaly detection systems for AI model behavior, data drift, and unauthorized access patterns Secure third–party AI platforms and APIs in alignment with ISO 27001 and SOC 2 controls Support secure deployment of agentic AI capabilities across production environments Cloud & Infrastructure Security Harden cloud infrastructure (AWS, GCP, or Azure) and containerized workloads Implement CI/CD security controls and secrets management best practices Manage endpoint protection, network security, and identify and access management solutions Maintain and continuously improve secure cleanroom environments for sensitive client data in accordance with existing playbooks and frameworks. Implement and optimize SEMM integrations, log monitoring, and alert workflows Compliance, Risk & Governance Develop and maintain A security standards, policies, and SOPs Support ISO 27001, SOC 2, and NIST-aligned security programs Conduct vendor security assessments for AI and SaaS platforms Support enterprise client security questionnaires, audits, and due diligence reviews Partner cross-functionally with HR, Governance, and Operations on risk mitigation Incident Response & Continuous Improvements Support security incident response and forensic investigations Conduct vulnerability assessments and penetration testing Identify systemic risk exposure and implement preventative controls Translate technical risk findings into business impact summaries for leadership. Perform additional security-related duties, projects, and initiatives as assigned, consistent with the scope, level, and evolving needs of the organization. The employee is expected to demonstrate flexibility and ownership in supporting organizational security priorities. Qualifications & Skills: 4+ years of cybersecurity engineering experience Minimum 2 years working in AI/ML systems or data science infrastructure Strong understanding of AI/ML security risks including adversarial ML, prompt injection, data leakage, and model supply chain vulnerabilities Hands-on experience with cloud security (AWS, GCP, or Azure), container security, and CI/CD pipeline hardening Proficiency in Python and scripting for security automation and AI/ML tooling Working knowledge of at least one ML framework (PyTorch, TensorFlow, or similar) and familiarity with LLM architectures Experience with compliance frameworks such as ISO 27001, SOC 2, or NIST 800-171 Familiarity with endpoint protection, SIEM, network security tools, and identity/access management Strong analytical and communication skills with the ability to translate technical risks into business impact Preferred Qualifications Relevant certifications such as CISSP, CCSP, CEH, OSCP, or AI/ML-specific security credentials Experience securing multi-language NLP or speech recognition systems Background in securing annotation and labeling platforms for ML training data Experience with GitHub Enterprise security configurations, secrets management, and repository access controls Physical & Work Environment Requirements This is a primarily remote position; however, the role may require in-office attendance for designated meetings, training, or leadership gatherings, as well as occasional travel to other company worksites as business needs require. The role routinely involves the use of standard office equipment, including computers, phones, and related devices. The position requires strong visual acuity for reviewing detailed documents, reports, and digital content, as well as manual dexterity for operating a computer, including the use of a keyboard and mouse. The individual must be able to communicate clearly and effectively, both verbally and in writing, with team members and stakeholders across the organization. The role requires the ability to manage tasks that involve prolonged periods of focus, concentration, and screen time. Occasionally, the role may require lifting and carrying office supplies or equipment weighing up to 25 pounds. Flexibility in scheduling is required to accommodate project needs, executive priorities, and time-sensitive initiatives. This may include occasional additional hours and work outside of standard business hours, as permitted by applicable law. Disclaimer & Legal Notices Disclaimer This job description is intended to describe the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, responsibilities, or qualifications. Duties, responsibilities, and scope may change or evolve based on business needs and organizational priorities. Productive Playhouse reserves the right to modify, revise, or reassign responsibilities as necessary, consistent with applicable law. Equal Employment Opportunity Productive Playhouse is an equal opportunity employer. We are committed to fostering a diverse, equitable, and inclusive work environment and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, age, national origin, ancestry, disability, medical condition, genetic information, marital status, military or veteran status, or any other status protected by applicable law. Employment Relationship Employment with Productive Playhouse is at-will where permitted by law, meaning that either the employee or the company may terminate the employment relationship at any time, with or without cause or notice. Where local laws require different terms or conditions, the employment relationship will be governed in accordance with applicable legal requirements. Work Authorization & Verification All offers of employment are contingent upon the candidate’s ability to provide valid documentation verifying identity and authorization to work in the United States or the applicable hiring location. Productive Playhouse participates in E-Verify where required by law. Reasonable Accommodation Productive Playhouse provides reasonable accommodations for qualified individuals with disabilities, in accordance with applicable law. Candidates or employees who require assistance or accommodation to perform the essential functions of the role may contact the Human Resources Department.

Responsibilities

The Security Engineer will lead and strengthen the security posture by designing resilient architectures, mitigating emerging AI threats, and ensuring AI systems and infrastructure meet high security and compliance standards. Key duties involve implementing security controls for AI/ML pipelines, hardening cloud infrastructure, managing compliance initiatives like ISO/SOC, and supporting incident response.