Job Description
We are looking for a visionary Senior AI Infrastructure Engineer to join our 2026 forward-thinking team. At Nexus Horizon Labs, we are not just building software; we are architecting the digital future. You will be responsible for designing and managing the robust infrastructure that powers our next-generation artificial intelligence models and data pipelines. If you are passionate about scalability, high availability, and cutting-edge technology, we want to hear from you.
Why Join Us?
- Work with state-of-the-art AI and Machine Learning technologies.
- Competitive salary and comprehensive benefits package.
- Flexible remote-first culture with a collaborative office in Austin.
- Opportunity to define the technical roadmap for 2026.
Responsibilities
- Design, deploy, and maintain scalable cloud infrastructure (AWS/GCP) to support AI workloads.
- Implement and manage container orchestration systems (Kubernetes/Docker) for high-performance deployments.
- Develop and enforce CI/CD pipelines to automate model training and deployment processes.
- Monitor system performance and optimize infrastructure costs to ensure maximum efficiency.
- Collaborate with data scientists and ML engineers to provide reliable data pipelines and storage solutions.
- Ensure security best practices and compliance standards are met across all infrastructure layers.
Qualifications
- 5+ years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering.
- Strong proficiency in Python, Go, or Bash scripting.
- Deep knowledge of containerization technologies (Docker) and orchestration (Kubernetes).
- Experience with cloud platforms (AWS, GCP, or Azure) and managed services.
- Experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, Seldon).
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.