Senior DevOps Engineer

June 3

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Complexio

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Complex made simple

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Description

• As a DevOps engineer at our AI product company, you will define and create the platform for deploying, managing, and optimizing our distributed systems across on-premises, multiple cloud environments (AWS, Azure, Google Cloud), and Kubernetes • Our system leverages multiple LLMs, Graph and Vector Databases and integrates data from multiple sources to power our AI solutions • You will ensure our infrastructure is robust, scalable, and secure, supporting the seamless delivery of our innovative products • This role requires combining cloud technologies and database management expertise, embracing the challenges of integrating AI and machine learning workflows on modern GPUs

Requirements

• Preferred M.Sc or Ph.d degree in Computer Science or a related field • At least 7 years of experience deploying and managing cloud infrastructure (AWS, Azure, Google Cloud) • At least 3 years experience in working with kubernetes environments • Proficient in managing and scaling Kubernetes clusters, including monitoring, troubleshooting, and ensuring high availability • Experience with cloud-native technologies, CI/CD pipelines, and containerization tools (e.g., Docker) • Familiarity with data integration and management from multiple sources in a distributed system environment • Proficiency in at least one programming language (Python, Java, Go), and experience with scripting for automation • Strong understanding of network infrastructure and security principles, ensuring compliance with data protection regulations

Benefits

• Competitive salary • Opportunities to work on groundbreaking NLP & AI-related projects • Remote working (Remote must be within 4-5 hours of CET timezone)