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Description
Complexio 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.
Requirements
You have
* Excellent problem-solving and technical skills
* Experience building platforms with custom deployment models
* A structured working approach and ability to focus on long-term goals
* Strong documentation and communication skills
* Interest and experience working on early-stage software and solving diverse problems
Key Responsibilities
* Deploy, manage, and scale cloud infrastructure to meet SLAs
* Manage graph and vector databases for performance and reliability
* Maintain and operate platform observability
* Ensure system security and compliance with data protection laws
* Provide technical support and troubleshoot complex issues
* Document system configurations and generate performance reports
* Manage infrastructure costs
Preferred Qualifications
* Master's or Ph.D. in Computer Science or related field
* At least 7 years of experience managing cloud infrastructure (AWS, Azure, GCP)
* At least 3 years working with Kubernetes environments
* Proficiency in managing and scaling Kubernetes clusters
* Experience with cloud-native tech, CI/CD pipelines, and containerization (Docker)
* Familiarity with data integration from multiple sources
* Proficiency in at least one programming language (Python, Java, Go) and scripting for automation
* Strong understanding of network infrastructure and security principles
Bonus Skills
* Database management experience with Neo4j and vector databases
* Experience deploying and running machine learning solutions, including LLMs
Benefits
* Join a pioneering joint venture at the intersection of AI and industry transformation
* Work with a diverse, collaborative team of experts
* Opportunities for professional growth and continuous learning
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Information Technology
Industries
* Technology, Information and Internet
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