Senior DevOps

Devopshunt; United Kingdom; On-site; GBP 50,000 - 70,000; Full time

Job summary

Join a leading AI product company as a DevOps Engineer. You will define and create platforms for deploying and managing distributed systems across cloud environments like AWS, Azure, and Google Cloud. Your role will focus on ensuring system scalability, robustness, and security while integrating cutting-edge AI workflows. This opportunity suits those passionate about problem-solving and early-stage software challenges.

Qualifications

• Experience in building platforms with custom deployment models.
• Understanding of integrating AI and machine learning workflows.
• Structured working approach with ability to focus on long-term goals.

Responsibilities

• Deploy, manage, and scale cloud infrastructure, meeting required SLAs.
• Manage graph and vector databases for optimal performance.
• Ensure system security by implementing best practices.

Skills

Problem-solving

Technical skills

Documentation

Collaboration

Job description

Complexio's 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.

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