A Dallas-based R&D and consulting firm specializing in Computer Vision & AI technology. We empower organizations to solve complex problems through AI-enabled actionable insights. Our approach emphasizes unique applications of computer vision, retrofitting AI into existing workflows, driving long-term innovation, and delivering high-value, low-cost AI solutions. We focus on crafting highly creative AI approaches that provide sustainable and impactful results across various industries.
Job Description
We are seeking an experienced DevOps Engineer to support and scale our development infrastructure. This role involves managing Unix-based environments with a strong sysadmin focus, scaling environments from proof-of-concept (POC) to full-scale deployment and ensuring high system availability. The ideal candidate will have significant Unix proficiency and experience optimizing for performance and reliability in resource-constrained environments.
Responsibilities
- Design and maintain scalable Unix-based infrastructure for development, testing, and production, with the capability to expand POC environments to full enterprise deployment.
- Automate build and deployment processes using CI/CD tools, optimizing workflows for scalability and efficiency.
- Monitor and troubleshoot system performance, optimizing Unix environments for high availability and security.
- Collaborate with development teams to ensure seamless transitions from development to production.
- Implement infrastructure as code using tools such as Terraform or Ansible, with a focus on Unix system automation.
- Manage containerization and orchestration (Docker, Kubernetes), enabling efficient scaling across Unix-based environments.
Qualifications
- Bachelors degree in computer science, IT, or a related field.
- Proven experience with Unix/Linux systems administration in a DevOps capacity, including proficiency in shell scripting and command-line utilities.
- Strong background in scaling POC environments to full-scale, production-ready deployments.
- Proficiency with DevOps tools like Jenkins, GitLab CI, Docker, and Kubernetes.
- Scripting experience in Python and Bash.
- Deep understanding of cloud platforms (AWS, Azure, Google Cloud) and best practices for scaling in Unix environments.
- Familiarity with infrastructure as code and containerization practices for efficient, scalable deployments.