webAI
Jr DevOps Engineer
Austin, TX · Junior
Sponsorship not specifiedDetected 29 days ago
PythonGoBashDistributed SystemsGitAWSGCPAzureCloud PlatformsDockerKubernetesTerraformAnsibleCI/CDGitHub ActionsJenkinsPrometheusGrafanaDatadogDevOpsMachine LearningMLOpsCybersecurityIncident Response
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- We are seeking a DevOps Engineer to design, build, and scale secure infrastructure supporting AI workloads across cloud and edge environments. This is a high-impact individual contributor role where you will help drive infrastructure architecture, platform reliability, and security best practices across the organization.
- You will work closely with engineering teams to implement scalable, automated infrastructure solutions that enable our AI platform to operate efficiently across diverse deployment scenarios-from public cloud to hybrid and edge environments. This role requires strong technical depth, production experience, and the ability to translate complex requirements into resilient infrastructure systems.
- We are seeking a DevOps Engineer to design, build, and scale secure infrastructure supporting AI workloads across cloud and edge environments.
Responsibilities
- Build and maintain Infrastructure as Code (Terraform, Pulumi, Ansible) using GitOps workflows and automated validation
- Develop secure CI/CD pipelines with integrated security controls (SAST, DAST, vulnerability scanning, secrets management)
- Support MLOps infrastructure initiatives including model deployment automation, versioning, and lifecycle management
- Implement observability and monitoring frameworks using tools such as Prometheus, Grafana, ELK, or Datadog
- Develop reusable infrastructure modules and documentation (runbooks, architecture docs, standards)
- Mentor junior and mid-level engineers on DevOps best practices and infrastructure design
Requirements
- 1-3 years of experience in DevOps, Infrastructure Engineering, Software Engineering, or a related technical role
- Familiarity with CI/CD concepts and tools such as GitHub Actions, GitLab CI, Jenkins, or ArgoCD
- Basic programming or scripting experience with Python, Go, Bash, or similar languages for automation
- Familiarity with Git and modern software development workflows
- Familiarity with Docker and containerized application environments; exposure to Kubernetes is a plus
- Hands-on experience or familiarity with Infrastructure as Code tools such as Terraform, Pulumi, or Ansible
- Experience working with or learning cloud platforms such as AWS, Azure, or GCP, including basic compute, networking, and managed services
- Understanding of monitoring, logging, and observability concepts
- Foundational understanding of cloud security, identity, permissions, and access management
- Strong troubleshooting and problem-solving skills with an eagerness to learn
- Strong communication skills and ability to collaborate with developers and other technical teams
Nice to have
- exposure to Kubernetes is a plus
- Familiarity with Docker and containerized application environments
- Preferred Skills:
Skills
- Exposure to Kubernetes or other container orchestration technologies
- Exposure to Infrastructure as Code through professional experience, personal projects, internships, or coursework
- Familiarity with multi-cloud or hybrid cloud environments
- Interest in supporting AI/ML or MLOps infrastructure and workflows
- Familiarity with service mesh technologies such as Istio or Linkerd
- Exposure to edge computing or distributed systems
- Basic understanding of cloud cost optimization and resource efficiency
- 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.
Compensation
- Competitive salary
Benefits
- We strive to provide competitive benefits to all employees.
- The benefits listed in this posting generally apply to U.S.-based employees.
- For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.
- Comprehensive health, dental, and vision benefits package
- Equity options
- $200/month Health & Wellness stipend
- Continuing Education support
- $500/year Function Health subscription
- Flexible Time Off (FTO)
- Parental leave for eligible employees
- Supplemental life insurance
- We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline.
Company info
- 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.
- 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.
- 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.
This listing is sourced directly from webAI's careers page and normalized into a canonical job model.