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Red Cross Security Jobs in Oregon (NOW HIRING)

InvoiceCloud

OR

Success requires strong ownership, structured problem solving, cross-functional collaboration, and ... Builds and scales AI Security Testing & Red Teaming workflows by creating repeatable adversarial ...

Robert Half

Cybersecurity Specialist

Portland, OR · On-site

$65 - $73/hr

This consultant will play a key role in strengthening endpoint security by implementing application ... Implement and administer Red Hat fapolicyd and Satellite. * Define trusted applications using ...

Red Robin

Shift Supervisor

Salem, OR

$17.65 - $21.28/hr

... safety and security policies. * Ensure Team Members avoid cross contamination, improper food ... Red Robin is an Equal Opportunity & E-Verify Employer

Family YMCA Marion & Polk Counties

Lifeguard

Salem, OR

$16.10 - $21.25/hr

Current YMCA Lifeguard, American Red Cross Lifeguard, or other acceptable certification. Current ... Maintain facility to ensure the safety of the participants and the security of the facility.

Willamette University

Campus Safety Officer

Portland, OR · On-site

$18.25 - $25.25/hr

... Red Cross or its equivalent. Coordinates with medical responders when a higher level of care is required. * Responds to notifications from the security and fire alarms across campus that are ...

Willamette University

Campus Safety Officer

Salem, OR · On-site

$17.25 - $23.75/hr

... Red Cross or its equivalent. Coordinates with medical responders when a higher level of care is required. * Responds to notifications from the security and fire alarms across campus that are ...

Willamette University

Campus Safety Officer

Salem, OR · On-site

$17.25 - $24/hr

... Red Cross or its equivalent. Coordinates with medical responders when a higher level of care is required. * Responds to notifications from the security and fire alarms across campus that are ...

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Red Cross Security information

See Oregon salary details

$29.6K

$71.6K

$171.3K

How much do red cross security jobs pay per year?

As of Jul 30, 2026, the average yearly pay for red cross security in Oregon is $71,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $86,200.00 per year, depending on experience, location, and employer.

What types of environments do Red Cross Security personnel typically work in, and how do these settings influence their daily responsibilities?

Red Cross Security team members may work in a variety of settings, including offices, disaster relief shelters, blood donation centers, and at public events organized by the Red Cross. The environment determines their daily tasks—ranging from monitoring building access and ensuring staff safety in everyday operations, to coordinating with emergency responders during major incidents or assisting with crowd management during large-scale community outreach events. They often work closely with Red Cross staff, volunteers, and external partners to maintain a secure and supportive atmosphere. Adaptability and situational awareness are key, as the specific safety risks and needs can change depending on location and event type.

What is a Red Cross Security job?

A Red Cross Security job involves ensuring the safety and protection of Red Cross personnel, volunteers, assets, and facilities. Security officers may monitor access points, respond to emergencies, and enforce safety protocols during humanitarian operations. They work to mitigate risks in disaster zones, conflict areas, or local offices. Their role is crucial in maintaining a secure environment for Red Cross missions worldwide.

What are the key skills and qualifications needed to thrive in the Red Cross Security position, and why are they important?

Red Cross Security professionals require knowledge of security protocols, emergency response procedures, and basic first aid, often supported by certifications in security operations and CPR/First Aid. They frequently use security surveillance systems, radios, incident reporting software, and access control tools. Strong observation skills, calmness under pressure, and effective communication are critical soft skills for this role. These competencies ensure the safety of staff, volunteers, and clients while supporting the Red Cross mission during both routine operations and crisis situations.

What are popular job titles related to Red Cross Security jobs in Oregon? For Red Cross Security jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Red Cross Security jobs in Oregon look for? The top searched job categories for Red Cross Security jobs in Oregon are:
Red Cross Security jobs near you
Infographic showing various Red Cross Security job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $71,552 per year, or $34.4 per hour.

AI Security Engineer

InvoiceCloud

OR

Other

Re-posted 25 days ago

Job description

Job Details:

We are seeking a highly skilled and results-oriented AI Security Engineer to support the Cybersecurity, Engineering, and Data Science organizations. This role plays a critical part in advancing InvoiceCloud's AI-first strategy by ensuring that AI/ML and generative AI systems are secure, resilient, compliant, and aligned with business objectives.

This is role operates as a subject matter expert in AI security. The ideal candidate brings deep expertise in application security, AI/ML risk, and cloud-native security engineering, and serves as a trusted partner to Engineering, Product, DevSecOps, Legal/Privacy, and Security Operations. Success requires strong ownership, structured problem solving, cross-functional collaboration, and the ability to balance risk reduction with business velocity.

Success Profile:

This role is anchored in our company's core competencies-These competencies reflect the mindsets and behaviors that define success in this role. We outline how each competency translates into real-world actions and outcomes specific to this role.

Results Driven

  • Leads AI Security Architecture & Secure Design initiatives by designing and implementing lifecycle security controls across data ingestion, training, evaluation, deployment, and monitoring environments to measurably reduce AI-specific risk while maintaining product velocity.
  • Conducts structured Threat Modeling & Risk Assessment exercises for generative AI, RAG, and agent-based systems, evaluating risks such as prompt injection, data poisoning, model extraction, model inversion, abuse/misuse, and data leakage, and mapping findings to OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMF to drive remediation through engineering teams.
  • Defines and operationalizes Monitoring, Detection & Incident Response capabilities for AI systems by implementing prompt and output telemetry, tool-call logging, anomaly detection, and AI-specific incident response playbooks integrated into SIEM/SOC workflows.
  • Delivers measurable outcomes aligned to 30-, 150-, and 210-day milestones, including secure reference architectures, hardened AI environments, integrated security controls, and executive-ready reporting on AI risk reduction and posture maturity. 

Takes Ownership

  • Establishes and formalizes AI Governance, Privacy & Third-Party Risk requirements by defining security expectations for AI use cases, third-party models, vendor integrations, and sensitive data usage, embedding controls into SDLC, procurement, and engineering standards.
  • Drives Cross-Functional Collaboration & Enablement by partnering with Engineering, Data Science, DevSecOps, Product, Legal/Privacy, and SOC teams to align on risk appetite, escalation paths, and secure design guardrails while raising AI security maturity across the organization.
  • Inventories current and planned AI/ML initiatives, documents system architectures and sensitive-data touchpoints, and implements a structured AI security intake and risk-rating process that ensures accountability and transparency.
  • Develops and communicates forward-looking 6- and 12-month AI security maturation plans that align technical priorities with business goals and clearly articulate risk trends, metrics, and investment needs to Security leadership and the CISO. 

Drives Efficiency

  • Integrates Secure MLOps / MLSecOps controls into AI delivery pipelines, including secure model registries, artifact signing and provenance validation, dependency scanning, secrets management, CI/CD guardrails, and hardened training and inference environments across AWS and Azure.
  • Builds and scales AI Security Testing & Red Teaming workflows by creating repeatable adversarial evaluation plans for jailbreaks, model evasion, prompt injection, and data exfiltration scenarios, ensuring security controls remain effective over time.
  • Develops automated regression test harnesses to continuously validate AI security protections as models, prompts, and dependencies evolve, reducing manual effort and improving coverage.
  • Establishes a sustainable AI security operating rhythm that includes intake reviews, threat modeling checkpoints, remediation tracking, and structured monitoring ownership to bring consistency and order to AI risk management 

Innovative

  • Advances AI Security Testing & Red Teaming capabilities through adversarial experimentation and multi-dimensional analysis, proactively identifying emerging AI threat patterns before production impact.
  • Leverages AI and automation to strengthen testing coverage, automate regression validation, enhance anomaly detection logic, and improve the scalability of AI security monitoring and response.
  • Continuously evaluates emerging AI security research, tooling advancements, and regulatory developments, translating insights into adaptive defensive controls that support InvoiceCloud's AI-first strategy while enabling responsible innovation. 

Requirements

  • Bachelor's degree in Computer Science, Cybersecurity, Engineering, Data Science, or related field (or equivalent practical experience).
  • 5+ years of experience in security engineering, application/product security, cloud security, or DevSecOps.
  • 2+ years of experience building or securing AI/ML systems (including LLM-based applications) in production environments.
  • Strong understanding of AI/ML threats and defenses, including prompt injection, data poisoning, model extraction, model inversion, adversarial inputs, data leakage, and abuse/misuse scenarios.
  • Experience integrating security into CI/CD and MLOps pipelines.
  • Proficiency with cloud platforms (AWS and Azure), container security, IAM, network segmentation, key management, and secrets management.
  • Familiarity with industry guidance such as OWASP GenAI/Top 10 for LLM Applications, MITRE ATLAS, and/or NIST AI RMF preferred.
  • Relevant certifications such as CISSP, CSSLP, CCSP, Azure Security certifications, or GIAC certifications preferred.

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