Why This Role Stands Out
This hybrid Security Implementation Consultant role offers a fantastic opportunity to leverage your expertise in core cybersecurity domains and enterprise platforms, driving impactful security improvements within a dynamic environment. You'll thrive here if you're a proactive problem-solver eager to develop your skills in areas like AI-assisted security and identity management, contributing to exciting initiatives for a reputable firm.
Quick Overview
Job Description
Security Implementation consultant
Boston, MA area
Contract
- Required Skills and Attributes: Strong hands-on experience across core cybersecurity domains, including asset discovery, endpoint security, endpoint management, email security, vulnerability management, identity and access management, and security monitoring. The ideal candidate is a self-starter with excellent problem-solving, communication, capable of working independently in a fast-paced environment while driving security improvements across multiple initiatives.
- Preferred Skills & Attributes: Experience with enterprise security platforms and technologies such as EDR, Intune, AD/Entra ID, Firewalls, SIEM solutions, web proxies, DDoS protection services, and mobile device management platforms. Experience supporting security hardening initiatives, and business continuity/disaster recovery programs is highly desirable.
- Primary Responsibilities: Support security improvement initiatives across endpoint defense & asset inventory
- Implement and support IAM-related hardening and remediation activities
- Perform threat and vulnerability management remediation across endpoints and infrastructure
Required AI Skills:
- All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to:
-Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise.
-Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows.
- -Continuous Learning: Stay current with evolving AI capabilities and features and apply them to improve delivery quality and velocity.
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