DevSecOps Engineer

About Us:

webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.

About the Role:

We are seeking a DevSecOps Engineer to support our Public Sector initiatives by building, securing, and maintaining compliant infrastructure environments for deploying AI models within government and regulated systems. This role bridges modern DevOps practices with the strict compliance and security standards required for federal engagements.

You will play a critical role in designing infrastructure automation, ensuring FedRAMP and NIST compliance, and helping deliver secure, auditable, containerized AI solutions to our public sector partners.

The ideal candidate will be based in Austin, Texas and able to work primarily in person. However, for exceptionally qualified candidates, the Company may, in its sole discretion, consider applicants located in the Washington, D.C./Northern Virginia area or, on a case-by-case basis, candidates who are fully remote. Qualified candidates who are not based in Austin, Texas may be asked to travel to our Austin, Texas headquarters.

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.

Qualifications:

• 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 Skills

• 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.

  
  

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:

• Truth - Emphasizing transparency and honesty in every interaction and decision.

• Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.

• Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.

• Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

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

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.