Cybersecurity Engineer

• Applications are considered on a rolling basis
• Washington
• Hybrid
• Hourly salary: $95

Job Description

Job Description add details here

Seeking a Cybersecurity Engineer IV to design implement and operate both traditional security platforms and AI-enabled security systems ensuring best practices while advancing automation maturity.

Responsibilities
Design implement and review security controls across enterprise platforms (cloud SaaS on-prem)
Build and manage enterprise security tools and infrastructure
Architect and deploy AI-powered security workflows using Agentic AI frameworks
Develop and maintain MCP (Model Context Protocol) servers and integrations for security tools and data sources
Implement Retrieval-Augmented Generation (RAG) pipelines for:
Threat intelligence enrichment
Security alert contextualization
Knowledge retrieval for SOC operations
Integrate AI capabilities into vendor platforms such as Splunk Palo Alto Networks Cortex XSOAR and SentinelOne
Design and deploy AI-driven playbooks and automation workflows for detection and response
Evaluate and onboard emerging AI-native security technologies
Configure troubleshoot and maintain security infrastructure across environments
Conduct security assessments and continuously improve security posture
Perform OS and infrastructure hardening logging and monitoring
Communicate technical risks and strategies effectively to leadership
Document SOPs and mentor team members
Collaborate across engineering SOC and architecture teams

Requirements
5 years Hands-on experience in security engineering tools (EDR SIEM SOAR tools)
2 years AI Application and Agent Development experience
5 years; Python Go or equivalent - Programming/Scripting Experience

Soft Skills:
Strong understanding of security architecture and system design
Ability to translate complex technical concepts into business context
Strong collaboration across cross-functional teams
Self-driven with ability to work independently and lead initiatives
Mentorship and knowledge-sharing mindset

Technology Requirements:
Experience designing building and maintaining enterprise security platforms
Hands-on experience building or integrating Agentic AI systems
Experience with:
RAG architectures (vector search LLM pipelines)
Vector databases (e.g. Pinecone Weaviate FAISS OpenSearch vector capabilities)
Embedding models and LLM APIs
Experience building or integrating MCP servers or equivalent context-sharing frameworks
Ability to design multi-step AI workflows (agents) for security use cases
Understanding of:
Prompt engineering
Context management
Model limitations evaluation and safety considerations
Experience integrating AI/automation into security platforms such as:
Splunk (search SOAR AI assistants)
Palo Alto Networks Cortex XSOAR (playbooks automation)
SentinelOne (EDR/XDR integrations)
Building custom connectors APIs or extensions for these platforms

Nice to Have Skills / Preferred Requirements
Experience with LLM frameworks (LangChain LlamaIndex Semantic Kernel etc.)
Familiarity with AI observability evaluation and guardrails
Experience with security data lakes and large-scale telemetry pipelines
Certifications:
CISSP
AWS Solutions Architect
Splunk certifications
Media/entertainment or global distributed environment experience

Education
Not required but relevant certifications preferred