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    Senior DevOps Engineer - United Kingdom - Complexio

    Complexio
    Complexio United Kingdom

    1 week ago

    Default job background
    Description

    This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it.

    Automation can then replicate and improve these actions independently.

    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 multiple sources to power our AI solutions.

    This role requires combining cloud technologies and database management expertise, embracing the challenges of integrating AI and machine learning workflows on modern GPUs.

    Experience in building platforms with custom deployment models
    Structured working approach and ability to piecemeal on long-term goals.
    Interest and experience in working on early-stage software and solving various problems

    Manage graph and vector databases for optimal performance and reliability
    Ensure system security by implementing best practices and complying with data protection laws
    Provide technical support, troubleshoot complex issues, and ensure uninterrupted service
    Document system configurations and procedures and generate performance reports
    d degree in Computer Science or a related field
    At least 7 years of experience deploying and managing cloud infrastructure (AWS, Azure, Google Cloud)
    Proficient in managing and scaling Kubernetes clusters, including monitoring, troubleshooting, and ensuring high availability
    Familiarity with data integration and management from multiple sources in a distributed system environment
    Proficiency in at least one programming language (Python, Java, Go), and experience with scripting for automation
    Strong understanding of network infrastructure and security principles, ensuring compliance with data protection regulations


    A Bonus:
    Proficient in database management, specifically with Neo4j and vector databases, including setup, scaling, and optimization for performance and reliability
    Experience deploying and running Machine Learning Solutions, including LLMs

    Competitive salary
    Opportunities to work on groundbreaking NLP & AI-related projects
    Remote working (Remote must be within 4-5 hours of CET timezone)
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