Join to apply for the Senior DevOps role at Complexio2 days ago Be among the first 25 applicantsDescriptionComplexio is a Foundational AI company that aims to automate business activities by ingesting and analyzing both structured and unstructured company data. Using proprietary models and algorithms, Complexio develops a deep understanding of human interactions and behaviors, enabling automation to replicate and improve these actions independently.Complexio is a joint venture involving Hafnia, Marfin Management, C Transport Maritime, Trans Sea Transport, BW Epic Kosan, and SímboLo.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 various 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 expertise in cloud technologies, database management, and integrating AI and machine learning workflows on modern GPUs.RequirementsYou haveExcellent problem-solving and technical skillsExperience building platforms with custom deployment modelsA structured working approach and ability to focus on long-term goalsStrong documentation and communication skillsInterest and experience working on early-stage software and solving diverse problemsKey ResponsibilitiesDeploy, manage, and scale cloud infrastructure to meet SLAsManage graph and vector databases for performance and reliabilityMaintain and operate platform observabilityEnsure system security and compliance with data protection lawsProvide technical support and troubleshoot complex issuesDocument system configurations and generate performance reportsManage infrastructure costsPreferred QualificationsMaster's or Ph.D. in Computer Science or related fieldAt least 7 years of experience managing cloud infrastructure (AWS, Azure, GCP)At least 3 years working with Kubernetes environmentsProficiency in managing and scaling Kubernetes clustersExperience with cloud-native tech, CI / CD pipelines, and containerization (Docker)Familiarity with data integration from multiple sourcesProficiency in at least one programming language (Python, Java, Go) and scripting for automationStrong understanding of network infrastructure and security principlesBonus SkillsDatabase management experience with Neo4j and vector databasesExperience deploying and running machine learning solutions, including LLMsBenefitsJoin a pioneering joint venture at the intersection of AI and industry transformationWork with a diverse, collaborative team of expertsOpportunities for professional growth and continuous learningSeniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation TechnologyIndustriesTechnology, Information and InternetJ-18808-Ljbffr
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