Senior DevOps Engineer

Complexio is Foundational AI. This 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 jobAs 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.RequirementsYou have:Excellent problem-solving and technical skillsExperience in building platforms with custom deployment modelsStructured working approach and ability to piecemeal on long-term goals.Ability to document and explain technical details clearly, with solid communication and collaboration skillsInterest and experience in working on early-stage software and solving various problemsKey ResponsibilitiesDeploy, manage, and scale cloud infrastructure, meeting the required SLAsManage graph and vector databases for optimal performance and reliabilityMaintain and Operate platform Observability.Ensure system security by implementing best practices and complying with data protection lawsProvide technical support, troubleshoot complex issues, and ensure uninterrupted serviceDocument system configurations and procedures and generate performance reportsCost Management of infrastructureQualificationsPreferred M.Sc or Ph.d degree in Computer Science or a related fieldAt least 7 years of experience deploying and managing cloud infrastructure (AWS, Azure, Google Cloud)At least 3 years experience in working with kubernetes environmentsProficient in managing and scaling Kubernetes clusters, including monitoring, troubleshooting, and ensuring high availabilityExperience 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 environmentProficiency in at least one programming language (Python, Java, Go), and experience with scripting for automationStrong understanding of network infrastructure and security principles, ensuring compliance with data protection regulationsA Bonus:Proficient in database management, specifically with Neo4j and vector databases, including setup, scaling, and optimization for performance and reliabilityExperience deploying and running Machine Learning Solutions, including LLMsBenefitsCompetitive salaryOpportunities to work on groundbreaking NLP & AI-related projectsRemote working (Remote must be within 4-5 hours of CET timezone)