Cybersecurity Solutions Architect/Engineer

Type of Requisition:

Pipeline

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

MBI (T2)

Job Family:

Cyber Engineering

Job Qualifications:

Skills:

Cybersecurity, Information Technology Security, Security Solutions

Certifications:

None

Experience:

8 + years of related experience

US Citizenship Required:

No

Job Description:

Seize your opportunity to make a personal impact as a Cybersecurity Solutions Architect/Engineer supporting the United States Postal Service. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.

At GDIT, people are our differentiators. As a Cybersecurity Solutions Architect/Engineer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Cybersecurity Solutions Architect/Engineer joining our team to analyze design, develop, implement, and support code for our government customer, the United States Postal Service.

   

HOW A CYBERSECURITY SOLUTIONS ARCHITECT/ENGINEER WILL MAKE AN IMPACT

In this role, a typical day will include:

• Play a pivotal role in today's rapidly evolving cybersecurity landscape by leading the integration and management of Artificial Intelligence (AI) and machine learning (ML) technologies into security solutions to combat sophisticated cyber threats. 
• Provide oversight and ensure compliance with security policies and programs related to AI, including secure development lifecycles and vulnerability management processes.
• Lead or support cybersecurity risk assessments, audits, program development, and incident response exercises, especially those involving AI systems.
• Establish and maintain secure development environments within AI platforms and integrated tools.
• Work with security teams and legal/business stakeholders to operationalize new cybersecurity AI/ML legislation.
• Collaborate with cross-functional teams, including AI/ML developers, security architects, and business stakeholders.
• Develop training programs to raise awareness of AI security risks and mitigation options.
• Threat Modeling and Risk Assessment. Identifying potential vulnerabilities and weaknesses within the organization's systems and infrastructure, assessing the associated risks, and developing strategies to mitigate those risks.
• Design and implement technical solutions (e.g., DLP, SIEM, endpoint monitoring) to support insider risk/threat detection, logging, and telemetry ingestion.
• Develop actionable security blueprints, principles, models, designs, standards, and guidelines to ensure information technology architecture and support is consistent, usable, secure, and adds value to the business.
• Tune and optimize system performance to reduce false positives and ensure that detection logic remains relevant to changing behaviors and environments.
• Support the secure deployment of behavior analytics models while ensuring that infrastructure and access controls meet privacy and governance requirements.
• Contribute to the engineering to automated response capabilities, including alerting, blocking, or throttling based on defined insider risk thresholds.

WHAT YOU’LL NEED TO SUCCEED:

Education:

• Bachelor's Degree in Computer Science or related technical discipline, preferred but not required.
• NOTE: If resources do not have a relevant college degree, an additional 4 years of relevant work experience is required.

Required Experience:

• 8+ years of related experience required
• 8+ years of experience with system integration and scripting, including APIs, log forwarding, and automation via Python, PowerShell, or Bash.
• Deep understanding of Artificial Intelligence (AI) and machine learning (ML) to develop, implement, and manage secure AI-driven solutions.
• Essential blended skillset that combines strong technical knowledge in cybersecurity and AI with effective leadership, communication, and strategic thinking abilities.
• Strong technical foundation. In-depth knowledge of computer networks, operating systems (Windows, Linux, UNIX), cloud computing (AWS, Azure), network security protocols (TCP/IP, DNS, HTTPS, etc.), cryptography, and database security.
• Expertise in identifying and mitigating AI-specific vulnerabilities such as adversarial attacks, model poisoning, privacy concerns (e.g., data leakage