Remote Senior DevOps Engineer

Description:

• Complexio is a foundational AI company that automates business activities by processing both structured and unstructured data.
• As a Senior DevOps Engineer, you will define and create the platform for deploying, managing, and optimizing distributed systems across on-premises and multiple cloud environments (AWS, Azure, Google Cloud) and Kubernetes.
• The system utilizes multiple LLMs, Graph and Vector Databases, integrating data from various sources to enhance AI solutions.
• You will ensure the infrastructure is robust, scalable, and secure, facilitating the seamless delivery of innovative products.
• This role involves combining cloud technologies and database management expertise while integrating AI and machine learning workflows on modern GPUs.

Requirements:

• You must possess excellent problem-solving and technical skills.
• Experience in building platforms with custom deployment models is required.
• A structured working approach and the ability to work towards long-term goals are essential.
• You should be able to document and explain technical details clearly, demonstrating solid communication and collaboration skills.
• An interest and experience in working on early-stage software and solving various problems are necessary.
• A preferred M.Sc or Ph.D. degree in Computer Science or a related field is required.
• You must have at least 7 years of experience deploying and managing cloud infrastructure (AWS, Azure, Google Cloud).
• At least 3 years of experience working with Kubernetes environments is necessary.
• Proficiency in managing and scaling Kubernetes clusters, including monitoring, troubleshooting, and ensuring high availability, is required.
• Experience with cloud-native technologies, CI/CD pipelines, and containerization tools (e.g., Docker) is essential.
• Familiarity with data integration and management from multiple sources in a distributed system environment is required.
• Proficiency in at least one programming language (Python, Java, Go) and experience with scripting for automation are necessary.
• A strong understanding of network infrastructure and security principles, ensuring compliance with data protection regulations, is required.
• Bonus: Proficiency in database management, specifically with Neo4j and vector databases, including setup, scaling, and optimization for performance and reliability.
• Bonus: Experience deploying and running Machine Learning Solutions, including LLMs.

Benefits:

• You will receive a competitive salary.
• There are opportunities to work on groundbreaking NLP and AI-related projects.
• Remote working is available, with the requirement to be within 4-5 hours of the CET timezone.