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SenzMate IoT Intelligence eliminates the inequality in access for the best quality state of the art IoT and AI technologies all around the world. We’ve always had a core mission to invent and innovate with the most advanced technologies, helping our clients become enterprises of the future and leaders in their industries. For the last 10 years, the essence of our company and culture has been built by the incredible people of SenzMate – where our many humanitarian contributions reflect our values.
Job Overview
As a Senior DevOps Engineer in our team, you will play a crucial role in scaling our production ML systems to high data volumes. Your responsibilities will involve providing robust infrastructure and tools for our Machine Learning Engineers to develop, evaluate, and deploy their solutions in a rapid but robust manner.
Responsibilities:
- Design, implement, and maintain containerized environments using Kubernetes and Docker.
- Configure and manage Ubuntu-based systems for AI and IoT workloads.
- Lead public cloud workload migrations across platforms (AWS, Azure, GCP).
- Configure and optimize GPU virtualization for AI workloads.
- Ensure network performance optimization and resource allocation for large-scale deployments.
- Collaborate with AI and infrastructure teams to align system architecture with project needs.
- Troubleshoot and resolve issues in virtualized and containerized environments.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 4+ years of experience in a DevOps engineering role.
- Proven experience in a B2B environment, previous MLOps experience in a large scale system is a bonus.
- Strong hands-on experience with Kubernetes and Docker in production environments.
- Proficiency in Ubuntu/Linux administration.
- Expertise in virtualization technologies and GPU configuration (NVIDIA or similar).
- Experience with cloud workload migration and multi-cloud strategies.
- Solid understanding of networking fundamentals in virtualized/cloud environments.
- Problem-solving skills with the ability to optimize infrastructure performance.
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