Senior DevOps Engineer

Complexio Limited; United Kingdom; Remote; GBP 60,000 - 85,000; Full time

Job summary

A leading AI product company in the UK is seeking a skilled DevOps engineer to manage and optimize cloud infrastructure, ensuring scalable and secure operations across multiple environments. This role requires significant expertise in cloud technologies and database management, along with a robust problem-solving ability. Opportunities to work on innovative NLP and AI projects await the ideal candidate.

Benefits

Competitive salary

Opportunities to work on groundbreaking NLP & AI projects

Remote working (within 4-5 hours of CET timezone)

Qualifications

• At least 7 years of experience in cloud infrastructure.
• 3 years of experience with Kubernetes environments.
• Proficient in at least one programming language (Python, Java, Go).

Responsibilities

• Deploy and manage cloud infrastructure and ensure system security.
• Maintain and operate platform observability.
• Document system configurations and provide technical support.

Skills

Problem-solving

Technical skills

Collaboration

Education

M.Sc or Ph.D in Computer Science

Tools

Docker

Kubernetes

Job description

Complexio is Foundational AI workstoautomate business activities by ingesting whole company data– both structured andunstructured – and making sense of it. Usingproprietarymodels and algorithms Complexio forms adeepunderstanding ofhow humans are interacting and using it. Automation can then replicate and improve these actions independently.

Complexiois a joint venture betweenHafnia andSímbolo, in partnership withMarfin Management,C Transport Maritime,Trans Sea TransportandBW 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.

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)