Senior DevOps Engineer

Complexio; United Kingdom; Remote; GBP 50,000 - 80,000; Full time

Job summary

A leading AI product company, Complexio, is seeking a DevOps engineer to define and manage a scalable infrastructure across multiple cloud platforms. The role involves optimizing distributed systems, maintaining cloud infrastructure, and ensuring system security to support innovative AI solutions. Candidates should have extensive experience in cloud technologies and database management, and the opportunity offers an exciting environment for early-stage software development.

Benefits

Remote working opportunities

Work on groundbreaking NLP & AI projects

Qualifications

• 7+ years of experience deploying and managing cloud infrastructure.
• Proficient in Kubernetes environments for scaling and management.
• Ability to document technical details clearly.

Responsibilities

• Deploy and manage cloud infrastructure, ensuring compliance with SLAs.
• Manage graph and vector databases for performance.
• Implement system security practices and troubleshoot issues.

Skills

Problem-solving

Technical skills

Communication

Cloud technologies

Database management

Education

M.Sc or Ph.D in Computer Science or related field

Tools

AWS

Azure

Google Cloud

Kubernetes

Docker

Job description

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Complexio is Foundational AI works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently.

Complexio is a joint venture between Hafnia and Símbolo, in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan.

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.

Requirements

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