AWSAzureCloudCyber SecurityGoogle Cloud PlatformLinuxPythonSplunkTCP/IPPowerShellAILLMGCPGoogle CloudGitGitHubVersion ControlCommunicationRemote Work
About this role
Role Overview
Provide security consultation and incident response services to our managed security customers.
Consult with customers on security events, providing analysis and recommendations for response actions tailored to their environment.
Analyze security data across SIEM, EDR, and cloud platforms to identify threats and advise on appropriate countermeasures.
Provide guidance to customers through the incident response lifecycle based on NIST 800-53 and SANS best practices.
Investigate potential compromises and recommend remediation strategies appropriate to customer risk tolerance and business requirements.
Advise customers on security best practices, control improvements, and risk mitigation approaches.
Analyze emerging threats and vulnerabilities; provide recommendations on defensive measures.
Document findings, recommendations, and consultation outcomes for customer delivery.
Collaborate with senior consultants on complex engagements and escalate as appropriate.
Requirements
1-3 years of experience in security operations, incident response, or security consulting
Prior SOC analyst or IR experience preferred
Required certifications within 12 months: Microsoft Azure Security Technologies (AZ-500), Microsoft Security Operations Analyst (SC-200), Microsoft Identity and Access Administrator (SC-300)
Certifications preferred: Security+, CySA+, CEH
Associate’s or Bachelor’s Degree in Information Technology, Cybersecurity, or related field preferred.
Linux and Windows Server administration fundamentals
Familiarity with cloud platforms (Azure, AWS, GCP) and their security services
Working knowledge of security tools: EDR, SIEM (Sentinel, Splunk, etc.), SOAR, and threat intelligence platforms
Understanding of networking fundamentals, TCP/IP, and common attack techniques
Ability to read and modify code (Python, PowerShell, KQL) for analysis and automation
Working knowledge of git version control including branching, commits, and pull request workflows
Proficiency with AI-assisted tools (Claude Code, GitHub Copilot, or equivalent) for accelerating security analysis and task automation
Understanding of AI/LLM security risks including prompt injection, data leakage, and model limitations
Ability to critically evaluate AI-generated outputs for accuracy and security implications
Willingness to adopt agentic AI workflows and AI-augmented tooling as part of daily security operations
Analytical mindset with ability to identify indicators of compromise and correlate events across data sources
Strong communication skills with ability to convey technical concepts to diverse audiences
Customer-focused with professional consulting demeanor.
Tech Stack
AWS
Azure
Cloud
Cyber Security
Google Cloud Platform
Linux
Python
Splunk
TCP/IP
Benefits
Comprehensive Benefits Including Medical, Dental, And Vision Insurance