Remote Senior DevOps

Description:

• Complexio is a Foundational AI company that automates business activities by ingesting both structured and unstructured company data to create a deep understanding of human interactions with that data.
• The company is a joint venture between Hafnia, Marfin Management, C Transport Maritime, Trans Sea Transport, BW Epic Kosan, and Símbolo.
• As a DevOps engineer, you will define and create the platform for deploying, managing, and optimizing distributed systems across on-premises and multiple cloud environments (AWS, Azure, Google Cloud) and Kubernetes.
• The system utilizes multiple LLMs, Graph and Vector Databases, and integrates data from various sources to power AI solutions.
• You will ensure the infrastructure is robust, scalable, and secure, supporting the seamless delivery of innovative products.
• This role requires expertise in cloud technologies and database management, as well as the ability to integrate AI and machine learning workflows on modern GPUs.
• Key responsibilities include deploying, managing, and scaling cloud infrastructure, managing graph and vector databases, maintaining platform observability, ensuring system security, providing technical support, documenting system configurations, and managing infrastructure costs.

Requirements:

• A preferred M.Sc or Ph.D. degree in Computer Science or a related field is required.
• At least 7 years of experience in deploying and managing cloud infrastructure (AWS, Azure, Google Cloud) is necessary.
• A minimum of 3 years of experience working with Kubernetes environments is required.
• Proficiency in managing and scaling Kubernetes clusters, including monitoring, troubleshooting, and ensuring high availability is essential.
• Experience with cloud-native technologies, CI/CD pipelines, and containerization tools (e.g., Docker) is required.
• Familiarity with data integration and management from multiple sources in a distributed system environment is necessary.
• Proficiency in at least one programming language (Python, Java, Go) and experience with scripting for automation is required.
• A strong understanding of network infrastructure and security principles, ensuring compliance with data protection regulations, is essential.

Benefits:

• Proficiency in database management, specifically with Neo4j and vector databases, including setup, scaling, and optimization for performance and reliability is a bonus.
• Experience deploying and running Machine Learning Solutions, including LLMs, is a bonus.
• You will join a pioneering joint venture at the intersection of AI and industry transformation.
• The position offers the opportunity to work with a diverse and collaborative team of experts from various disciplines.
• There is an opportunity for professional growth and continuous learning in a dynamic field.