Full-Time

Devops Engineer

Posted on 1/31/2025

WebAI

WebAI

51-200 employees

Modular deep learning platform for enterprises

AI & Machine Learning
Financial Services
Healthcare

Mid, Senior

Austin, TX, USA

Category
DevOps & Infrastructure
DevOps Engineering
Required Skills
Chef
Bash
Kubernetes
Microsoft Azure
Python
Grafana
Puppet
MySQL
Ruby
Postgres
Docker
CloudFormation
AWS
Prometheus
Jenkins
Terraform
Ansible
MongoDB
Development Operations (DevOps)
CircleCI
Google Cloud Platform

You match the following WebAI's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 3+ years of experience in DevOps, Site Reliability Engineering (SRE), or a similar role.
  • Proficiency in scripting and automation (Python, Ruby, Bash).
  • Strong knowledge of CI/CD pipelines and automation tools.
  • Experience with Docker and Kubernetes for containerization and orchestration.
  • Cloud infrastructure expertise (AWS, Azure, or GCP) for provisioning and managing cloud resources.
  • Hands-on experience with infrastructure-as-code tools like Terraform or CloudFormation.
  • Understanding of networking, security best practices, and system administration.
  • Experience with monitoring/logging (Prometheus, Grafana, ELK).
  • Strong problem-solving and troubleshooting skills.
  • Excellent collaboration and communication skills to work effectively with cross-functional teams.
Responsibilities
  • Automate infrastructure provisioning, application deployment, and system configurations using scripting (Python, Ruby, Bash) and tools like Ansible, Puppet, or Chef.
  • Design, build, and manage CI/CD pipelines using Jenkins, GitLab CI, CircleCI, or similar tools to streamline deployments.
  • Work with containerization and orchestration technologies such as Docker and Kubernetes to manage scalable applications.
  • Manage cloud infrastructure across AWS, Azure, or GCP, ensuring security, scalability, and reliability.
  • Set up and maintain local infrastructure, including provisioning, building, and deploying on local machines or servers.
  • Monitor system health and performance using Prometheus, Grafana, and ELK stack, proactively identifying and resolving issues.
  • Implement security best practices across applications and infrastructure, including vulnerability assessments and access controls.
  • Collaborate closely with developers, system administrators, and product teams to optimize workflows and improve system reliability.
  • Troubleshoot and resolve production issues quickly to minimize downtime.
  • Manage and optimize databases (MySQL, PostgreSQL, MongoDB) as part of infrastructure support.
Desired Qualifications
  • DevOps certifications such as AWS Certified DevOps Engineer, Docker Certified Associate (DCA), or similar.
  • Experience working in Agile environments and familiarity with Agile methodologies.
  • Exposure to serverless architectures and modern cloud-native technologies.

WebAI offers a modular and secure Deep Learning Platform (DLP) that enables developers and enterprises to integrate advanced AI capabilities into their operations. The platform is designed to work efficiently with low computational resources, making it suitable for edge deployments without cloud connectivity. Users can autonomously collect, train, and deploy neural networks, which reduces the need for extensive data and computational power. WebAI aims to make advanced AI accessible to a broader audience, particularly in industries like healthcare, finance, and manufacturing.

Company Stage

Series A

Total Funding

$74.9M

Headquarters

Grand Rapids, Michigan

Founded

2020

Growth & Insights
Headcount

6 month growth

5%

1 year growth

3%

2 year growth

3%
Simplify Jobs

Simplify's Take

What believers are saying

  • WebAI raised $60M in Series A, boosting its innovation and market reach.
  • Increased demand for edge AI solutions aligns with WebAI's platform capabilities.
  • Growing interest in AI explainability enhances WebAI's appeal in regulated industries.

What critics are saying

  • Emerging AI startups may erode WebAI's market share with similar solutions.
  • Rapid AI advancements could render WebAI's features obsolete without updates.
  • Economic downturns may impact WebAI's subscription-based revenue model.

What makes WebAI unique

  • WebAI offers a modular Deep Learning Platform for secure, low-resource AI deployment.
  • The platform supports edge deployments, ideal for limited cloud connectivity environments.
  • WebAI's proprietary runtime stacks ensure high accuracy and seamless code integration.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Flexible Work Hours

Supplemental Life Insurance