MOTOR Ai

DevOps Engineer

• Handling the end-to-end administration of our Kubernetes environment and optimizing CI/CD pipelines through Terraform and Ansible
• Managing resources across AWS (EKS) and innovative NeoCloud providers to ensure a seamless, high-performance architecture
• Oversight of training data within a Data Lake, including the implementation of sophisticated filters for incoming streams and the removal of noise from training phases
• Serving as a high-level technical consultant to solve complex problems for development teams and streamline internal workflows
• Implementing and maintaining technical monitoring using Grafana and Prometheus to ensure high performance and stability during core business hours

Senior DevOps Engineer – Hybrid Infrastructure

Full-stack Engineer

• Manage team capacity and competency planning to ensure resources are aligned with project requirements
• Develop and own system verification and integration plans in direct collaboration with development teams and project stakeholders
• Define clear acceptance criteria for system requirements in cooperation with product managers and engineers
• Create and execute detailed test cases to validate systems, hardware, and software
• Lead the overall validation and verification strategy
• Drive test automation by designing automation schemes and integrating them into our CI/CD pipelines
• Support and maintain test infrastructure, equipment, and tools
• Analyze test results, identify risks, prepare verification reports, and communicate key metrics to stakeholders and management

Senior DevOps Engineer – Hybrid Infrastructure

Lead Engineer – Testing and Documentation