Cyber Security Engineer

Everforth Apex
Eagle Mountain, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Security CompTIA Security+ Cyber Security Continuous Integration Data Security Key Management Network Security Zero Trust Network Access
+17 more
Security Information and Event Management Software Engineering Systems Integration Software Vulnerability Management Policy as Code Data Logging Data Processing Cloud Platform System Spring Cloud Large Language Models Software Security Software Troubleshooting Cyber Threat Analysis AI Platforms Kubernetes Virtual Agents Devsecops

Job description

The Cyber Security Engineer will design, build, secure, and deploy Agentic AI use cases that enhance cybersecurity operations, enterprise workflows, and security-adjacent automation. This is a hands-on, engineering-focused role responsible for embedding security throughout the full lifecycle of AI-enabled solutions., The engineer will work across cloud-native and enterprise environments to develop AI systems that safely interact with tools, APIs, and workflows while operating within defined guardrails, human oversight, and access controls., * Design, build, and secure Agentic AI solutions across the full lifecycle, including requirements, architecture, implementation, testing, deployment, and monitoring

  • Develop AI-enabled solutions such as:
  • Security copilots
  • Incident response orchestration capabilities
  • Enterprise workflow agents
  • Knowledge-driven assistants interacting with sensitive systems and data
  • Integrate security controls into AI and application development pipelines (CI/CD and DevSecOps)
  • Perform threat modeling and apply secure SDLC practices
  • Implement identity, access control, and secrets management for AI systems and connected tools
  • Support vulnerability management and remediation efforts
  • Ensure secure cloud deployment practices in Azure and AWS environments
  • Define and enforce AI guardrails, including:
  • Prompt and context protections
  • Monitoring and logging requirements
  • Policy enforcement mechanisms
  • Collaborate with application teams, platform teams, security architects, and governance stakeholders to deliver secure, scalable solutions

Requirements

  • Hands-on cybersecurity engineering experience in one or more of the following:
  • Application security
  • Cloud security
  • Infrastructure/network security
  • DevSecOps / CI-CD security
  • Vulnerability management
  • Security architecture / zero trust
  • Experience designing and implementing security controls for cloud-native applications in Azure and/or AWS
  • Strong understanding of secure SDLC practices, including:
  • Code security
  • Pipeline security
  • Secrets management
  • Dependency risk
  • Deployment hardening
  • Experience securing systems that integrate with external data sources, enterprise APIs, plugins, or automation tools
  • Ability to define logging, monitoring, and observability requirements for AI-enabled applications
  • Understanding of data protection, privacy, and sensitive data handling
  • Strong troubleshooting and engineering execution skills, with the ability to move from design to deployment
  • Effective communication skills to work across technical and governance stakeholders, * Experience building or securing:
  • Security-focused AI systems
  • Threat-hunting assistants
  • Workflow automation agents
  • Incident response orchestration solutions
  • Exposure to:
  • Retrieval-based systems
  • Knowledge-grounded AI assistants
  • Secure data access patterns for AI applications
  • Experience with LLM application patterns, including:
  • Orchestration frameworks
  • Tool-calling patterns
  • Secure prompt/context management
  • Familiarity with:
  • AI red teaming and adversarial testing
  • Model abuse cases and attack-path analysis
  • Agentic AI security controls (guardrails, human-in-the-loop workflows)
  • Experience with policy-as-code, infrastructure-as-code security controls, or automated governance
  • Knowledge of enterprise security and compliance frameworks related to AI and cloud environments
  • Experience integrating AI systems with:
  • SIEM / SOAR platforms
  • Case management or ticketing systems
  • Security operations workflows
  • Familiarity with Azure OpenAI, Azure security tools, AWS AI/security services, or enterprise AI platforms
  • Relevant certifications such as Security+, CISSP, CCSP, GIAC, or cloud security certifications
  • Experience working in regulated or high-assurance environments

About the company

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

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