Complexio is Foundational AI works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it.
Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it.
Automation can then replicate and improve these actions independently.
Complexio is a joint venture between Hafnia and Símbolo , in partnership with Marfin Management , C Transport Maritime , Trans Sea Transport and BW Epic Kosan .
About the job 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.
Responsibilities 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 A Bonus: Proficient in database management, specifically with Neo4j and vector databases, including setup, scaling, and optimization for performance and reliability Experience deploying and running Machine Learning Solutions, including LLMs Remote working (Remote must be within 3-5 hours of CET timezone)