webAI · 1 hour ago
Bare Metal DevSecOps Engineer
webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. They are seeking a Bare Metal DevSecOps Engineer to design, secure, and maintain compliant infrastructure environments for deploying AI models within government and regulated systems, ensuring compliance with federal security frameworks.
Computer Software
Responsibilities
Design, implement, and maintain scalable, secure cloud and edge infrastructure for AI workloads in government environments
Manage containerization and orchestration technologies such as Docker and Kubernetes, optimizing for performance, isolation, and compliance
Develop and maintain Infrastructure as Code (IaC) using Terraform, Ansible, or Pulumi to automate secure, compliant infrastructure provisioning
Implement and manage CI/CD pipelines with integrated security controls, encryption, and vulnerability scanning
Ensure compliance with federal security frameworks such as NIST SP 800-53, FedRAMP, and DISA STIGs
Collaborate with Security, Legal, and Public Sector teams to maintain continuous compliance posture and generate audit-ready evidence
Package and deliver software artifacts (containers, binaries, configurations) for deployment in restricted or air-gapped environments
Configure and maintain monitoring, logging, and observability tools to ensure system reliability and compliance visibility
Support MLOps workflows to productionize AI models with consistent, secure automation
Contribute to documentation and knowledge sharing on infrastructure and compliance best practices
Qualification
Required
Active US Security clearance or eligibility and willingness to obtain a US Security clearance
5+ years of experience in DevOps, Site Reliability, or Infrastructure Engineering
Proficiency with Docker, Kubernetes, and cloud-native deployment tools
Strong experience implementing Infrastructure as Code with Terraform, Ansible, or Pulumi
Deep understanding of security and compliance frameworks such as NIST SP 800-53, FedRAMP, and DISA STIGs
Experience with MLOps tools and practices for automating and scaling model deployments
Proficiency in Python, Bash, or Go for automation and scripting
Experience integrating security controls into CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.)
Familiarity with observability tools such as Prometheus, Grafana, ELK, or CloudWatch
Preferred
Experience working within FedRAMP Moderate or High environments
Familiarity with AI model deployment pipelines and model governance best practices
Knowledge of Zero Trust architecture and secure identity management
Strong collaboration skills and ability to work cross-functionally across technical, security, and compliance teams
Excellent written and verbal communication skills for interfacing with government stakeholders and auditors
Benefits
Competitive salary and performance-based incentives.
Comprehensive health, dental, and vision benefits package.
401k Match (US-based only)
$200/mos Health and Wellness Stipend
$400/year Continuing Education Credit
$500/year Function Health subscription (US-based only)
Free parking, for in-office employees
Unlimited Approved PTO
Parental Leave for Eligible Employees
Supplemental Life Insurance
Company
webAI
webAI is designed to streamline the training, deployment, and execution of AI models by offering a unified execution layer for AI that seamlessly integrates cloud-based services and local devices.
Funding
Current Stage
Growth StageRecent News
Google Patent
2024-04-16
Company data provided by crunchbase