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    Remote Senior DevOps AWS Engineer - United Kingdom - Quintessential AI

    Quintessential AI
    Quintessential AI United Kingdom

    1 week ago

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    Description
    About the job

    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.

    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.

    You have

    Excellent problem-solving and technical skills
    Experience in building platforms with custom deployment models
    Structured working approach and ability to piecemeal on long-term goals.
    Ability to document and explain technical details clearly, with solid communication and collaboration skills
    Interest and experience in working on early-stage software and solving various problems
    Key Responsibilities

    Deploy, manage, and scale cloud infrastructure, meeting the required SLAs
    Manage graph and vector databases for optimal performance and reliability
    Maintain and Operate platform Observability.
    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
    Cost Management of infrastructure
    Requirements

    Preferred M.Sc or Ph.d degree in Computer Science or a related field
    At least 7 years of experience deploying and managing cloud infrastructure (AWS, Azure, Google Cloud)
    At least 3 years experience in working with kubernetes environments
    Proficient in managing and scaling Kubernetes clusters, including monitoring, troubleshooting, and ensuring high availability
    Experience 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 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
    Benefits

    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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