Title: Cloud Architect Lead II Location: PA/ KT/ RI Remote with some onsite travel Job Description: Position: Cloud Security Architect Lead II Duration: 6 months Job ID: 176481 Job Overview: We are seeking a skilled Cloud Security Architect or Cloud Platform Developer with a hands-on coding focus to join our Cybersecurity organization. In this role, you will collaborate closely with our Cloud Engineering team to ensure the security and configuration of cloud infrastructure across Azure, AWS, and other cloud service providers. The ideal candidate will have experience with WIZ Cloud Security for triggering Azure cloud automation scripts and will be responsible for monitoring and managing cyber technology within the cloud environment. You will also contribute to the development of cloud security strategies, provide expert guidance, conduct security assessments, and design and implement secure cloud architectures. This position is ideal for individuals passionate about cloud security and well-versed in modern cloud security concerns such as secure configurations, container security, and cloud incident response. Responsibilities: - Design and implement secure cloud architectures across AWS, Azure, and GCP. - Develop Azure Cloud Automation code with the WIZ Platform. - Conduct regular security assessments and ensure compliance with frameworks such as NIST and CIS. - Lead incident response for cloud environments and contribute to tabletop exercises. - Collaborate with developers and DevOps teams to ensure secure CI/CD and IaC best practices. - Ensure user access and privileged account management to cloud resources align with industry best practices. - Provide input to GRC teams on cloud security policies and IAM standards. - Perform security reviews of cloud architecture, infrastructure, and applications, identify gaps, and execute strategies to mitigate risks. - Manage CSPM and Container Security technologies with hands-on experience. - Serve as a Subject Matter Expert on cloud security topics, best practices, and emerging technologies. - Identify and apply strategies to optimize resource utilization and minimize costs. - Provide guidance, coaching, and support to junior staff members. - Perform other duties as assigned and comply with all policies and standards. Qualifications: - Required Education: Bachelor's degree in computer science, Information Security, or a related field, or equivalent experience. - Required Experience: A minimum of 10+ years of direct cybersecurity cloud experience in configuring and supporting cloud applications and infrastructure. - Experience with Microsoft 365 services, including Microsoft Endpoint Manager, Microsoft Defender for Cloud, and Microsoft Identity and Access. - Understanding of modern cloud technology components such as virtual machines, containers, Kubernetes, serverless, and infrastructure as code. - Demonstrated knowledge of Azure architecture and core services, including Virtual Machines, Azure Active Directory, Azure Networking, and more. - Experience with DevOps and building CI/CD pipelines for application and infrastructure deployments. - Proficiency in scripting languages like PowerShell or Azure CLI for automation. - Knowledge of network architectures, including VNETs, subnets, VPNs, and ExpressRoute. - Strong leadership, communication, and interpersonal skills. - Collaborative and effective in cross-functional team environments. - Strong analytical skills to assess risks and vulnerabilities in complex systems. - Preferred Qualifications: Knowledge of programming languages like Python, .NET, or Java; certifications such as M365 Security, Microsoft Azure Administration Associate AZ 104, or Microsoft Azure Security Engineer Associate AZ 500. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: - Pay any fee to be considered for, submitted to, or selected for any opportunity. - Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. - Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $85 - $90/hr. W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

Title: Senior Cloud Developer Engineer Location: Chantilly, VA Remote - USA Job Description: GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk. By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation&rsquo;s top organizations, such as Fortune 500 companies and U.S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk. About GuidePoint Security GuidePoint Security is a leading cybersecurity solutions and services firm enabling federal government organizations to make smarter security decisions that minimize risk. With more than 800 vetted technology vendor partnerships and deep practitioner expertise across every major cybersecurity domain, GuidePoint serves more than half of the U.S. Government&rsquo;s cabinet-level agencies across Civilian, DoD, and Intelligence Community segments, as well as Federal System Integrators and major defense prime contractors. We are growing our federal presales engineering team and looking for technically exceptional engineers who thrive at the intersection of federal mission and cybersecurity technology. The Cloud Developer Engineer will help design, implement, and manage secure cloud infrastructures in support of mission-critical operations, with a strong focus on security monitoring and threat detection. This role supports complex cloud environments by leveraging modern DevOps tools and practices, collaborating across teams to solve technical challenges. Key Responsibilities - Supporting AWS, Azure, Oracle, and GCP cloud services and infrastructure using Infrastructure as Code (IaC) tools such as Terraform or ARM templates - Troubleshooting and resolving issues related to a specific cloud environment - Implementing Cloud security best practices - Leveraging Azure data services such as Azure Monitor, Azure Logging Analytics, Microsoft Defender for Cloud, Microsoft Sentinel, and Azure Policy to ensure security posture and compliance. - Writing and maintaining automation scripts in PowerShell, Python, or Azure CLI and executing them using services such as Logic Apps, Azure Automation, and Azure Functions. - Configuring network security groups (NSGs), application gateways, and other network controls to protect cloud resources - Managing Cloud compute, storage, networking, and database services - Applying security best practices and compliance standards while collaborating effectively across teams to address complex technical needs Requirements - An active TS/SCI with Polygraph is required. - 5-7 years of experience in cloud computing with a primary focus on Microsoft Azure, and AWS</li> - Bachelor&rsquo;s degree or 4+ additional years of IT experience in lieu of a degree - Experience designing and deploying Cloud-based solutions tools, and working with DevOps tools such as Azure DevOps, Jenkins, Gitlab, AWS CodeStar, Docker, etc. - Proficiency with Infrastructure as Code tools like ARM templates, Terraform, Ansible, or BICEP - Familiarity with cloud template technologies including Azure Resource Manager, GitHub Enterprise, GitLab, and architecture frameworks such as TOGAF or Zachman - Experience automating workflows using scripting tools such as PowerShell, Bash, Python, YAML, JSON, or Ansible - DoD 8570 IAT Level 2 certification (e.g., CCNA Security, GICSP, GSEC, Security+, CND, SSCP) or ability to obtain within 6 months of hire Preferred Qualifications - Familiarity with container technologies such as Docker and Kubernetes, and experience with other cloud platforms like AWS or Google Cloud Platform - Familiarity with the Atlassian tool suite, specifically JIRA and Confluence. - Understanding of Federal Information Processing Standards (FIPS)-199, NIST SP 800-53, NIST SP 800-53A, NIST SP 800-37, and DoD Cloud Security Requirements Guide - Microsoft certifications such as Azure Administrator Associate, Azure Security Engineer Associate, Solutions Expert in Cloud Platform and Infrastructure, or Azure Solutions Architect Expert Physical Qualifications - Must be able to remain in a stationary position 50%. - Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. - Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations. &ldquo;Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information.&rdquo; We use Greenhouse Software as our applicant tracking system and Zoom Scheduler for HR screen request scheduling. At times, your email may block our communication with you. Please be sure to check your SPAM folder so that you don't miss updates on your application. Why GuidePoint? GuidePoint Security is a rapidly growing, profitable, privately-held value added reseller that focuses exclusively on Information Security. Since its inception in 2011, GuidePoint has grown to over 1,200 employees, established strategic partnerships with leading security vendors, and serves as a trusted advisor to more than 6,200 customers. Firmly-defined core values drive all aspects of the business, which have been paramount to the company&rsquo;s success and establishment of an enjoyable workplace atmosphere. At GuidePoint, your colleagues are knowledgeable, skilled, and experienced and will seek to collaborate and provide mentorship and guidance at every opportunity. This is a unique and rare opportunity to grow your career along with one of the fastest growing companies in the nation. Some added perks&hellip;. - Remote workforce primarily (U.S. based only, some travel may be required for certain positions, working on-site may be required for Federal positions) - Group Medical Insurance options: Zero Deductible PPO Plan (GuidePoint pays 90% of the premium for employees and 70% for family plans (spouse/children/family) or High Deductible Health Plan with HSA (GuidePoint pays 100% of the employees premiums and 75% for family plans (spouse/children/family). If you choose the High Deductible / HSA plan, GPS will contribute in 4 equal quarterly installments: ($850 per EE annually / $1750 per family annually (includes spouse/children/family options) - Group Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans - 12 corporate holidays and a Flexible Time Off (FTO) program - Healthy mobile phone and home internet allowance - Eligibility for retirement plan after 2 months at open enrollment - Pet Benefit Option

Role Description L'ingénieur Data Scientist, spécialisé dans l'IA, est le/la référent(e) technique sur les sujets de machine learning, deep learning et IA générative. Il/elle traduit des problématiques métiers complexes en modèles prédictifs et systèmes intelligents, tout en veillant à leur robustesse, leur explicabilité et leur conformité éthique. Au sein de l'équipe Innovation et data, vos missions principales seront : - Concevoir, entraîner et optimiser des modèles de machine learning et deep learning (supervisé, non supervisé, par renforcement) - Développer des solutions d'IA générative : LLM, RAG (Retrieval-Augmented Generation), fine-tuning de modèles de fondation - Réaliser des études de faisabilité et des preuves de concept (POC) sur de nouveaux cas d'usage IA - Piloter les travaux IA confiés à des prestataires - Effectuer une veille technologique active et intégrer les dernières avancées de la recherche en IA - Collecter, nettoyer et préparer des jeux de données massifs et hétérogènes pour l'entraînement des modèles - Concevoir des pipelines de feature engineering robustes et reproductibles - Gérer les problématiques de données déséquilibrées, de bruit et de données manquantes - Travailler sur des données multi-modales : texte, image, audio, séries temporelles, données tabulaires - Packager et déployer les modèles en production via des API REST ou des microservices - Mettre en place et maintenir des pipelines MLOps (CI/CD, versioning des modèles, monitoring des performances) - Surveiller la dérive des données (data drift) et des modèles (model drift) en production - Collaborer avec les équipes Data Engineering et DevOps pour l'intégration dans les systèmes existants - Automatiser les workflows d'entraînement, d'évaluation et de réentraînement des modèles - Assurer la conformité des solutions IA avec le règlement en vigueur - Documenter les modèles (model cards, data sheets) et maintenir une traçabilité complète des expériences - Travailler en étroite collaboration avec les équipes métiers pour cadrer les besoins et restituer les résultats Qualifications - Diplôme scientifique de spécialité informatique de niveau 7 RNCP - Bac+5 ou doctorat en data science, mathématiques appliquées, informatique, statistiques, physique ou domaine équivalent - Expérience sur des projets LLM / IA générative, contributions open source, publications ou participations à des compétitions (Kaggle, NeurIPS, ICML) serait un plus - Expérience en analyse et traitement de données dans un contexte Big Data sera très appréciée Requirements - Python expert (scikit-learn, pandas, numpy, matplotlib) - Frameworks : PyTorch, TensorFlow / Keras, JAX, Vue.js, riff, PyTest - LLM & IA générative : Albert IA, RAG, N2SQL, LangChain, LlamaIndex, HuggingFace, OpenAI API, QDrant - MLOps : MLflow, Kubeflow, DVC, Weights & Biases - Plateformes cloud AI : Kubernetes, MinIO, microservices, Postgres, ArgoCD - SQL avancé + outils big data (Spark, Databricks), Clickhouse - Conteneurisation : Docker, Kubernetes - Statistiques avancées & mathématiques (algèbre linéaire, probabilités, optimisation) - XAI & IA éthique (SHAP, LIME, fairness metrics) Benefits - Curiosité intellectuelle et goût prononcé pour la recherche - Rigueur scientifique et pensée critique sur les résultats - Capacité à vulgariser des concepts complexes auprès de non-experts - Autonomie et force de proposition - Esprit collaboratif et ouverture au feedback - Gestion de l'incertitude et résilience face aux échecs expérimentaux - Sens éthique et responsabilité dans l'usage de l'IA - A l'aise avec les méthodologies de conduite de projets agiles Éléments de candidature Documents à transmettre : Pour postuler à cette offre, l'envoi du CV et d'une lettre de motivation est obligatoire. Personnes à contacter : stephane.bellec@developpement-durable.gouv.fr , Yoelma.rodriguez-d@developpement-durable.gouv.fr

• Define and lead the cloud architecture strategy aligning to client modernization goals and mission priorities • Design and implement hybrid cloud architectures integrating Cloud One, DISA environments, and on-premise systems • Architect and optimize DevSecOps pipelines to support automated, secure, and continuous delivery across environments • Lead the design of data architectures and integration pipelines, enabling ingestion, transformation, and utilization of maintenance and operational data • Establish and enforce cloud governance, security, and compliance frameworks, including RMF, NIST 800-53, and STIG requirements • Collaborate with development, DevSecOps, cybersecurity, and operations teams to ensure architectural alignment and delivery efficiency • Evaluate current-state architecture and define target-state modernization roadmaps, including phased migration strategies • Support performance optimization, cost management, and system resilience across cloud environments • Provide technical guidance during design reviews, architecture boards, and program-level decision-making