Platform Engineer

Summary

Join OREDATA, a Digital Transformation & IT Consulting firm, and collaborate with experts on impactful digital, operational, analytical, and data science challenges. We offer a collaborative, agile, and autonomous work environment. As a key member of our team, you will streamline the development, deployment, and management of machine learning models, create and maintain Kubernetes clusters, and implement automated processes. We provide opportunities for professional development and a range of benefits, including remote work, flexible time off, and company-paid professional certificates.

Requirements

• Bachelor's degree in Computer Engineering, Software Engineering or related field
• Min 2+ years experience of provisioning and maintaining Kubernetes clusters is a must ( especially for on-prem systems )
• Good knowledge about bash scripting
• Good knowledge of version control systems (Git, etc.)
• Advanced knowledge of Linux system administration

Responsibilities

• Collaborate with data science and engineering teams to streamline the development, deployment, and management of machine learning models
• Create & maintain Kubernetes clusters in large scale environments (dev/test/staging etc.)
• Implement automated processes for model training, testing, and deployment using tools such as Kubernetes, Kubeflow, and Docker
• Develop and maintain robust data pipelines to support the end-to-end machine learning lifecycle
• Ensure data security, privacy, and compliance with regulatory requirements throughout the machine learning pipeline

Preferred Qualifications

• Hands-on experience on Kubeflow
• Good to have experience on monitoring applications (Grafana, Prometheus etc.)
• Good to have experience on configuring and managing code-based infrastructure (Ansible, Puppet etc.)

Benefits

• Remote working and flexible time off
• Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)
• Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)
• Opportunity to work on international projects
• Private Health Insurance
• Birthday Leave Policy
• Learning & Development opportunities for both personal and professional growth