Apply Now: Senior DevOps Engineer

Complexio is Foundational AI works to automatebusiness activities by ingesting whole company data – bothstructured and unstructured – and making sense of it. Usingproprietary models and algorithms Complexio forms a deepunderstanding of how humans are interacting and using it.Automation can then replicate and improve these actionsindependently. Complexio is a joint venture between Hafnia andSímbolo , in partnership with Marfin Management , C TransportMaritime , Trans Sea Transport and BW Epic Kosan . About the job Asa DevOps engineer at our AI product company, you will define andcreate the platform for deploying, managing, and optimizing ourdistributed systems across on-premises, multiple cloud environments(AWS, Azure, Google Cloud), and Kubernetes. Our system leveragesmultiple LLMs, Graph and Vector Databases and integrates data frommultiple sources to power our AI solutions. You will ensure ourinfrastructure is robust, scalable, and secure, supporting theseamless delivery of our innovative products. This role requirescombining cloud technologies and database management expertise,embracing the challenges of integrating AI and machine learningworkflows on modern GPUs. Responsibilities Preferred M.Sc or Ph.ddegree in Computer Science or a related field At least 7 years ofexperience deploying and managing cloud infrastructure (AWS, Azure,Google Cloud) At least 3 years experience in working withkubernetes environments Proficient in managing and scalingKubernetes clusters, including monitoring, troubleshooting, andensuring high availability Experience with cloud-nativetechnologies, CI/CD pipelines, and containerization tools (e.g.,Docker) Familiarity with data integration and management frommultiple sources in a distributed system environment Proficiency inat least one programming language (Python, Java, Go), andexperience with scripting for automation Strong understanding ofnetwork infrastructure and security principles, ensuring compliancewith data protection regulations A Bonus: Proficient in databasemanagement, specifically with Neo4j and vector databases, includingsetup, scaling, and optimization for performance and reliabilityExperience deploying and running Machine Learning Solutions,including LLMs Remote working (Remote must be within 3-5 hours ofCET timezone)