Devops Engineer (Ai, Gitlab)

• Design and maintain AI infrastructure: Set up, configure and manage cloud, on-premises or hybrid environments needed for AI development, training and inference, including compute, storage, networking and GPU resources
• Automate deployment pipelines: Build and maintain CI/CD and MLOps pipelines for code, data workflows, model training, testing, validation and deployment
• Manage containerisation and orchestration: Use tools such as Docker and Kubernetes to package, deploy and scale AI applications and services reliably across environments
• Support model operationalisation: Enable the transition of machine learning models from development to production, ensuring reproducibility, versioning, traceability and controlled releases
• Monitor systems and model services: Implement monitoring, logging, alerting and performance tracking for infrastructure, applications and AI model endpoints, including availability, latency, resource usage and failures
• Ensure reliability, scalability and performance: Optimise infrastructure and deployment processes so AI services can scale efficiently and remain stable under changing workloads
• Implement security and compliance controls: Apply security best practices for infrastructure, access management, secrets handling, software dependencies, data protection and regulatory compliance
• Manage environments and configuration: Standardise development, test and production environments using Infrastructure as Code and configuration management tools to ensure consistency and reproducibility
• Collaborate across teams: Work closely with data scientists, AI engineers, software developers, cybersecurity specialists and business teams to support delivery of AI solutions
• Support data and model lifecycle governance: Contribute to processes for artefact versioning, auditability, lineage, backup, recovery and lifecycle management of datasets and models
• Troubleshoot and improve operations: Investigate incidents, deployment issues and performance bottlenecks, and continuously improve automation, resilience and operational efficiency

• Advanced (+5yr) experience with GitLab and CI/CD pipelines
• Expertise (+3yr) in Docker and Kubernetes for container orchestration
• Good knowledge of Data Science and Machine Learning principles and AI frameworks such as Haystack, Langchain, etc.
• Expertise with cloud services like AWS or Azure
• Proficiency in using Terraform for IaC
• Proficiency in programming languages such as Python, along with experience in using development tools like GIT, GitLab, Jira, Confluence, etc.
• Familiarity monitoring and observability in CI/CD, included structured logging, metrics collection (e.g.: Prometheus, Grafana)
• Familiarity with database management systems (PostgreSQL, etc.) and search engines (Elastic Search, etc.)
• EU citizenship
• Fluent English: B2/C1
• Being open to occasional business trips abroad and visits in our office in Katowice

Clearance

• Luxmed
• Medicover Sport
• Worksmile
• educational platforms
• languages learning platform
• referral bonus
• copyrights
• life insurance
• certifications (paid by the company)
• conferences
• Tech Lunches
• possibility to join our Communities (Project Management, Architecture, Security, Process Management, Leadership, AI and Cloud)
• local kindergarten
• Occasional business trips abroad and visits in our office in Katowice
• free parking
• fresh fruits
• workation