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A leading company in AI solutions is seeking a DevOps Engineer to implement and manage cloud and on-premises infrastructure. You will work with cutting-edge technologies like Docker, Kubernetes, and AWS, ensuring a scalable and secure environment. This role offers exciting challenges and the opportunity to contribute to innovative projects in a fast-paced setting.
Our client has pioneered a groundbreaking artificial intelligence solution, functioning as a virtual agent to intelligently respond to voice-based telephone callers in the contact center industry. They are deeply invested in the application of artificial intelligence across conversational AI, data compression, and human understanding. Currently, they are seeking a DevOps Engineer to take charge of implementing the system infrastructure for both their cloud-based and on-premises solutions. Their technology stack relies on Docker and Kubernetes in AWS, deploying a fully microserviced Artificial Intelligence / Machine Learning architecture. This role goes beyond routine infrastructure deployment, requiring an exploration of the cutting edge of what Kubernetes, Docker, and AWS can achieve. With hybrid CPU / GPU deployments, integration of GlusterFS, and a diverse range of services (e.g., RabbitMQ, Postgres, ElasticSearch), you will encounter new, intriguing, and varied challenges daily. As the DevOps Engineer, you will be entrusted with delivering maximum throughput at minimal resource cost, all while ensuring the security and integrity of their cloud. Your role involves advocating for and implementing DevOps best practices, collaborating closely with the engineering team to establish a scalable, performant, and reliable cloud infrastructure. This opportunity offers an environment where you can contribute to pushing the boundaries of technology and overcoming exciting challenges regularly.
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