
51 - 200 employés
Fondée en 1981
🎖️ Défense
🔒 Cybersecurity
💼 Conseil
Defense • Cybersecurity • Consulting
Gnostech est un contractant de défense axé sur les missions, qui fournit des solutions et services d'ingénierie intégrée pour assurer la domination dans la guerre de l'information pour les combattants. L'entreprise met l'accent sur l'intégrité, l'engagement et le professionnalisme et emploie du personnel habilité (Secret, TS, TS/SCI) pour soutenir les travaux sensibles en matière de sécurité nationale. Gnostech opère depuis ses bureaux à Warminster, PA et San Diego, CA, et semble offrir des services et solutions techniques aux clients gouvernementaux et militaires.
🕒 il y a 10 jours
🗣️🇺🇸🇬🇧 Anglais requis
AWS
Azure
Cloud
Cyber Security
Docker
Java
Kubernetes
MariaDB
Microservices
MySQL
Postgres
Python
PyTorch
Spring
Spring Boot
SpringBoot
Tensorflow
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51 - 200 employés
Fondée en 1981
🎖️ Défense
🔒 Cybersecurity
💼 Conseil
Defense • Cybersecurity • Consulting
Gnostech est un contractant de défense axé sur les missions, qui fournit des solutions et services d'ingénierie intégrée pour assurer la domination dans la guerre de l'information pour les combattants. L'entreprise met l'accent sur l'intégrité, l'engagement et le professionnalisme et emploie du personnel habilité (Secret, TS, TS/SCI) pour soutenir les travaux sensibles en matière de sécurité nationale. Gnostech opère depuis ses bureaux à Warminster, PA et San Diego, CA, et semble offrir des services et solutions techniques aux clients gouvernementaux et militaires.
• Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices. • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services. • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements. • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes. • Integrate AI models, data pipelines, and inference services into production systems. • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders. • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation. • Maintain code repositories using modern version control and CI/CD pipelines. • Apply secure coding practices and support DevSecOps workflows. • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality. • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.
• Strong proficiency in software design, development, and debugging. • Experience with modern programming languages such as Java, Python, or similar backend technologies. • Experience with Spring Boot, REST APIs, and microservices architectures. • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools. • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications. • Experience building containerized applications using Docker and Kubernetes. • Experience with cloud platforms such as AWS, Azure, or Google Cloud. • Experience with relational databases (MySQL, MariaDB, PostgreSQL). • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices. • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring. • Ability to analyze problems, design solutions, and work collaboratively in a team environment. • Bachelor's degree (in Engineering, Computer Science, Math, or related field) • Minimum 2+ years of experience
• None specified
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