856 Java J2ee jobs in Arlington,VA

Bachelor's with 12+ years (or commensurate experience)
CCIE Certification: Written and practical
Within each of the Cisco Certifications, the following specializations are needed and listed in order of importance: Routing and Switching, Service Provider, Data Center and Wireless
Clearance Required: Must be able to obtain and maintain a Public Trust clearance.

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ResumeLibrary

Scientist, Software Engineer

L3Harris Technologies

Chantilly, VA 20151

Bilingual Preferred

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Data Engineer

ManTech

Chantilly, VA 20151

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Boundary Security Engineer

BOOZ, ALLEN & HAMILTON

Fort Meade, MD 20755

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

4+ years of experience with network security and the design of IT systems or networks for large commercial enterprises or government agencies
4+ years of experience with firewall and enterprise security design, including device hardening, intrusion detection systems and intrusion prevention systems, SIEM, firewalls, internet protocol security, vulnerability assessment, and intrusion detection
Experience with Palo Alto firewalls and Cisco or Juniper firewalls
Secret clearance
HS diploma or GED
Ability to obtain a DoD 8570 IAT Level II Certification within 90 days of hire date

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Manager, AI Engineer

KPMG

Washington, DC 20011

~ 11 min OnsiteHealth InsuranceRetirement Benefit

Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
Knowledge of AI security, data privacy, governance, and ethical AI frameworks
Strong problem-solving skills with the ability to translate complex technical concepts for executives
Excellent verbal and written communication skills, with experience creating client-facing deliverables
Willingness and ability to travel
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity

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