Data Scientist Cloud

Nabout Leidos
United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$154,050.0 - $278,475.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Big Data Cloud Computing Cloud Computing Security Cloud Engineering Data Centers Data Security Network Segmentation NIPRNet Cloud Services
+16 more
Ansible Zero Trust Network Access Cloud Platform System Multi-Cloud HybridCloud Infrastructure as Code (IaC) Cloudformation Containerization Kubernetes Information Technology Terraform Devsecops Serverless Computing Static Application Security Testing Microservices Dynamic Application Security Testing

Job description

  • Enterprise Architecture: Lead the design and implementation of large-scale cloud architectures that support both Defensive (DCO) and Offensive (OCO) mission enclaves.\n
  • Infrastructure as Code (IaC): Drive the transition to automated provisioning using Terraform, CloudFormation, or Ansible to ensure environments are repeatable, auditable, and disposable.\n
  • Cloud Security & Zero Trust: Implement Zero Trust Architecture (ZTA) within cloud environments, ensuring strict identity-based access (ICAM) and micro-segmentation of mission data.\n
  • Cloud Native AI/ML Support: Partner with the AI SME to architect the specialized GPU-compute clusters and high-speed storage required for large-scale data processing and model inference.\n
  • Cost & Resource Optimization: Provide SME-level guidance on FinOps, optimizing cloud spend while ensuring the Command has the burst capacity needed during active cyber engagements.\n
  • RMF & ATO Acceleration: Lead the technical documentation and engineering efforts to achieve Authority to Operate (ATO) for new cloud services and custom-built mission applications.\n, * Hybrid-Cloud & Connectivity SME: Expert knowledge in architecting and maintaining hybrid-cloud connectivity solutions (e.g., AWS Direct Connect, Azure ExpressRoute) to bridge on-premises DoD data centers with GovCloud environments while maintaining strict low-latency and high-security requirements.\n
  • Cloud R&D: Experience prototyping “Edge” cloud capabilities and tactical cloud nodes for forward-deployed Cyber Mission Teams (CMTs) operating in disconnected or bandwidth-constrained environments.\n
  • Operational Sustainment: Proven ability to lead the full lifecycle of complex cloud migrations, transitioning legacy mission tools from on-premise hardware to modern, scalable serverless or containerized architectures.\n
  • Cross-Domain Solutions (CDS): Technical familiarity with managing secure data transfers and service orchestration between different classification levels (NIPR/SIPR/JWICS).\n
  • Professional Certifications: High-level credentials such as AWS Certified Solutions Architect - Professional or Azure Solutions Architect Expert.\n

Requirements

  • Experience: 12+ years in IT/Engineering, with 6+ years of dedicated experience architecting DoD or Intelligence Community (IC) cloud environments.\n
  • Technical Proficiency: \n \n

  • Multi-Cloud Mastery: Deep expertise in AWS GovCloud and/or Azure Government.\n
  • Containerization: Expert-level knowledge of Kubernetes (K8s), EKS, or AKS for orchestrating microservices.\n
  • DevSecOps: Proficiency in building CI/CD pipelines that integrate automated security scanning (SAST/DAST).\n \n

  • Education: Bachelor’s or Master’s degree in Computer Science, Cloud Computing, or related field.\n
  • Compliance: IAT Level III (e.g., CISSP, CASP+, or CISM) per DoD 8570/8140.\n

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