---
title: 'Jr DevOps Engineer at webAI'
canonical: 'https://feeny.ai/job/jr-devops-engineer-webai-austin-w4cbwznjkt77'
type: 'job'
last_seen: '2026-10-14'
---

# Jr DevOps Engineer at webAI

- **Company:** webAI
- **Location:** Austin, TX
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-23
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/webai/5aa2fb29-be71-4135-928c-e7690611b380

## Job description

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 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.

Responsibilities:

- Design and implement secure, scalable infrastructure across multi-cloud (AWS, Azure, GCP), hybrid, and edge environments
- Build and maintain Infrastructure as Code (Terraform, Pulumi, Ansible) using GitOps workflows and automated validation
- Deploy and operate Kubernetes clusters optimized for AI/ML workloads, including GPU scheduling and container security best practices
- 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
- Enforce security best practices including IAM, encryption, network segmentation, and compliance automation
- Participate in incident response, reliability improvements, postmortems, and disaster recovery planning
- Develop reusable infrastructure modules and documentation (runbooks, architecture docs, standards)
- Mentor junior and mid-level engineers on DevOps best practices and infrastructure design

Qualifications:

- 1–3 years of experience in DevOps, Infrastructure Engineering, Software Engineering, or a related technical role
- 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
- 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
- Understanding of monitoring, logging, and observability concepts
- Foundational understanding of cloud security, identity, permissions, and access management
- Familiarity with Git and modern software development workflows
- Strong troubleshooting and problem-solving skills with an eagerness to learn
- Strong communication skills and ability to collaborate with developers and other technical teams

Preferred 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
- Relevant entry-level or associate certifications such as AWS Certified Cloud Practitioner, AWS Solutions Architect – Associate, Azure Fundamentals, or Terraform Associate

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: 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.

- Competitive salary
- Comprehensive health, dental, and vision benefits package
- 401(k) match
- Equity options
- $200/month Health & Wellness stipend
- Continuing Education support
- $500/year Function Health subscription
- Free parking for in-office employees
- Flexible Time Off (FTO)
- 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.

## About webAI

## Company Overview
- **One-liner**: webAI provides an end-to-end platform for building, deploying, and operating custom AI on local infrastructure, ensuring data sovereignty and low latency.
- **Entity Type**: Private (Series A‑II, $60M total raised)
- **Headquarters**: Austin, Texas, United States
- **Founded**: 2019 (source: webai.com) / 2020 (source: CB Insights)
- **Founders**: David Stout (CEO), Ethan Baird (Chief Research Officer), Tyler Mauer (Chief Product Officer)

## Core Business
- Primary industry/industries: Enterprise AI infrastructure, sovereign AI, edge computing
- Target customers: B2B – large enterprises and public‑sector organizations in healthcare, manufacturing, financial services, aviation, retail, and defense
- Mission or purpose statement: “AI should be specialized, sovereign, efficient, and sustainable. It should solve real problems, not just burn more compute.” (source: [webai.com/about](https://www.webai.com/about))

## Products & Services
- **Navigator**: Build, train, and deploy custom AI models on local infrastructure with full transparency and control. (source: [webai.com](https://www.webai.com))
- **Companion**: An on‑device assistant that connects employees to private AI, tailored to industry workflows (e.g., aviation, manufacturing). (source: [webai.com](https://www.webai.com))
- **Runtime**: Orchestrates distributed AI workloads across heterogeneous hardware, scaling from a single device to entire clusters. (source: [webai.com](https://www.webai.com))
- **webFrame**: Delivers optimized inference and training with adaptive quantization (“Entropy‑Weighted Quantization”) achieving near 99.5% accuracy. (source: [webai.com](https://www.webai.com))
- **Network**: Connects every model, dataset, and device through a secure, local fabric for high‑speed collaboration without the cloud. (source: [webai.com](https://www.webai.com))
- **CLI**: Full command‑line control for developers to build, extend, and manage AI environments at scale. (source: [webai.com](https://www.webai.com))

## Competitive Advantages
- **Data sovereignty**: Full ownership of AI models and data; models run on local infrastructure, not in the cloud.
- **Low latency & resilience**: Edge deployments enable real‑time inference without cloud dependency; works offline.
- **Proprietary optimization**: Entropy‑Weighted Quantization compresses models while maintaining ~99.5% accuracy.
- **Full‑stack platform**: Covers development (Navigator), deployment (Runtime/CLI), inference (webFrame), and collaboration (Network).

## Strategic Focus
- Current priorities: Scaling custom, sovereign AI into regulated industries (healthcare, finance, defense); building the “operating system of the future” for edge intelligence; achieving 2030 vision of billions of specialized models embedded in everyday systems. (source: [webai.com/about](https://www.webai.com/about))
- Growth direction: Public sector partnerships (President of Public Sector Dr. Jason Rathje); vertical solutions for aviation, manufacturing, and retail.

## Why Work Here
- **Culture**: Core beliefs include ownership, truth, tenacity, humility, and the conviction that AI must be local and accessible.
- **Work model**: Flexible work environment with a strong bias toward work‑life balance; “Unlimited PTO.”
- **Perks** (source: [webai.com/careers](https://www.webai.com/careers)):
  - Comprehensive health coverage for body and mind
  - Parental leave and fertility support
  - 401(k) with company contribution
  - Learning stipend for professional development
  - Equity options
- **Engineering culture**: Developer‑first (CLI, Runtime) with focus on solving complex distributed‑systems and ML challenges; autonomy to shape the platform.

## Sources
1. [webai.com](https://www.webai.com)
2. [webai.com/about](https://www.webai.com/about)
3. [webai.com/careers](https://www.webai.com/careers)
4. [CB Insights](https://www.cbinsights.com/company/webai)
5. [LinkedIn](https://www.linkedin.com/company/webai-official)

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