Responsibilities
- Design, develop, and maintain our Kubernetes-based infrastructure, enabling seamless deployment and autonomous management of ML models across various customer production environments.
- Take full ownership of the infrastructure, proactively identifying and resolving issues to maintain the highest levels of quality, performance, and reliability in customer deployments.
- Be innovative, apply industry best practices in both software development and infrastructure management to ensure robust, scalable systems.
- Develop and maintain automated testing frameworks and CI/CD pipelines to optimize code quality, deployment speed, and operational efficiency.
Qualifications
- 3+ years of experience developing and managing scalable services in Kubernetes.
- Proficiency in Kubernetes, cloud services, and modern DevOps practices.
- Proven track record of collaborating with customers to resolve deployment challenges in production environments.
- Strong programming skills in Python or other relevant languages.
- Excellent problem-solving abilities and a commitment to innovation and continuous improvement.
- Experience in deploying machine learning models in production is a plus.
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