Artificial Intelligence DEVOPS SME - Virginia Beach - Atlas Technologies Inc

Description

Career Opportunities with Atlas Technologies, Inc.

Atlas Tech is a rapidly expanding company supporting the US Military and other Government entities, seeking a passionate, flexible, highly motivated team player to join our group of Information Technology professionals. If you are comfortable in intense fast-paced environments, can think on your feet, and excel in team-based collaborative efforts, then this may be the right fit for you.

We are seeking an Artificial Intelligence DEVOPS Subject Matter Expert (SME) to provide Artificial Intelligence and Machine Learning solutions to assist in identifying gaps and opportunities within our customers cybersecurity architecture.

Key Responsibilities:

• Evaluate emerging technologies and implementing AI/ML-driven solutions to enhance security posture.
• Develop, engineer, and document AI/ML solutions across a multi-vendor platform to support our enterprise security architecture.
• Collaborate with data scientists and AI/ML specialists to integrate machine learning models into network security systems.
• Implement AI-driven network anomaly detection, intrusion prevention, and threat hunting systems.
• Leverage AI/ML to enhance cloud security, addressing limitations of cloud platforms while ensuring compliance with DoD security directives.
• Utilize native and non-native cloud security tools, such as Azure Security Center, Azure Virtual Network TAP, AWS GuardDuty, and Amazon Inspector, to implement AI/ML-driven security solutions.
• Develop and implement AI/ML algorithms for network automation, using tools like NetMiko, Napalm, or Pandevice.
• Utilize AI/ML to optimize network resource allocation, improve infrastructure efficiency, and automate network configuration tasks.
• Stay informed about the latest AI/ML trends and emerging threats in network security.
• Conduct proof-of-concept (PoC) projects and pilot AI/ML-driven security solutions.
• Contribute to the development of AI/ML security standards and best practices.

Requirements:

• A minimum of a Department of Defense (DoD) Top Secret level Security Clearance.
• Minimum 7 years of experience in network engineering, telecommunication, or a related field.
• Proven experience (3+ years) in AI/ML, with a focus on network security or cybersecurity.
• Proficiency in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and programming languages (e.g., Python, R).
• Experience with AI/ML-driven network security tools and platforms (e.g., Darktrace, CrowdStrike Falcon, Vectra AI).
• Knowledge of AI/ML security use cases, such as anomaly detection, threat hunting, and predictive analytics.
• Strong network engineering background, with expertise in Cisco, Palo Alto, F5, Fidelis, and other relevant technologies.
• Proven experience in enterprise network design, implementation, and security.
• Familiarity with cloud networking technologies (AWS, Azure, GCP) and cloud security best practices.
• Excellent written and verbal communication skills, with the ability to explain complex AI/ML concepts to both technical and non-technical stakeholders.
• Strong interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Problem-solving skills and a proactive approach to identifying and mitigating security risks.
• Outstanding organizational and time management skills.
• Excellent communication and interpersonal abilities.
• Ability to handle competing priorities with high expectations in a team-oriented environment.

Education:

• Bachelor of Science degree in Math or Engineering field (Required).
• IAT Level II Security Certification (CySA+, GICSP, GSEC, Security+ CE, or SCCP)
• Cisco OS Certification (CCNP, or equivalent certification)

Preferred Qualifications:

• Certifications: AI/ML-related certifications (e.g., IBM AI Engineering Professional Certificate, Microsoft Certified: Azure AI Engineer Associate)
• Security certifications (e.g., CISSP, CISM, CEH)

About Atlas Technologies:

To me, the best part about working at Atlas is the level of transparency afforded to everyone in the company. I've had plenty of jobs where I knew what I was doing, but at Atlas there is a concerted effort to make sure we also understand why, and how our role directly impacts the overall mission.

With LEARNING as a core value, Atlas is constantly promoting ways to increase knowledge and stay at the forefront of the latest technology. Team members are regularly encouraged to continue learning and Atlas provides training resources and skills enhancement opportunities internally as well as education reimbursement if you prefer to obtain skills through outside resources or higher education.

About Us:

Atlas Tech is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, genetic information, or protected veteran status. We are committed to fostering an inclusive workplace where diverse perspectives are valued and respected.

Atlas Tech strives to make our website accessible to all users. If you need assistance completing the application process or require a reasonable accommodation due to a disability, please contact us. This contact information is designated for accommodation requests only and cannot be used to inquire about the status of an application. Atlas Tech is committed to providing reasonable accommodations in accordance with the Americans with Disabilities Act (ADA).