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
• 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
• 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
Nice to have:
• Proficient in database managment, speciffically with Neo4j and vector databases, including setup, scaling, and optimization for performance and reliability
• Experience deploying and running Machine Learning Solutions, including LLMs
Benefits
Complexio is the intelligence layer for enterprise AI.
Our platform builds a connected understanding of your business so AI can act intelligently across people, processes and systems.
Enterprises have invested heavily in AI platforms, copilots and data lakes, yet daily work still depends on manual hand-offs and thousands of unseen tasks buried in emails, chats and spreadsheets. Complexio closes that automation gap, turning disconnected activity into actionable intelligence.
The Event Knowledge Graph continuously ingests structured and unstructured data to create a living, contextual map of how the enterprise truly works, revealing every task, interaction and dependency with full provenance and audit trails.
Built on this foundation, the Automated Automations Engine discovers, designs and executes workflows automatically. It unifies copilots, RPA and process-mining tools into a single closed-loop automation system where discovery, orchestration and execution happen continuously and autonomously.
Complexio is model-agnostic and deployed securely within your infrastructure. It can integrate with SAP, Microsoft, Oracle, IBM and OpenAI, transforming data lakes into action and organisational knowledge into measurable business outcomes.
Our mission is to redefine enterprise automation by enabling true collaboration between humans and machines, creating organisations that learn, adapt and execute as one intelligent system.
