DevOps Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
DevOps Engineer (AI/GitLab): Designing and maintaining AI infrastructure and MLOps pipelines with an accent on automation, scalability, and the operationalization of machine learning models. Focus on building robust CI/CD workflows, orchestrating containers with Kubernetes, and optimizing GPU resources for AI training and inference.
Location: Must be located in Poland and have EU citizenship. Hybrid work with occasional visits to the office in Katowice.
Salary: UoP 12,000–16,000 PLN gross/month or B2B 100–140 PLN net/h
Company
is a major European tech player providing consulting, digital services, and software development across nearly 30 countries.
What you will do
- Design and manage cloud and hybrid AI infrastructure, including compute, storage, and GPU resources.
- Build and maintain CI/CD and MLOps pipelines for code, data workflows, and model deployment.
- Package and scale AI applications using Docker and Kubernetes.
- Implement monitoring, logging, and alerting for infrastructure and AI model endpoints using Prometheus and Grafana.
- Standardize environments using Terraform for Infrastructure as Code (IaC).
- Collaborate with data scientists and AI engineers to transition ML models from development to production.
Requirements
- EU citizenship and residency in Poland.
- 5+ years of experience with GitLab and CI/CD pipelines.
- 3+ years of expertise in Docker and Kubernetes for orchestration.
- Proficiency in Python and Terraform.
- Experience with cloud services such as AWS or Azure.
- English proficiency: B2/C1.
Nice to have
- Security Clearance.
Culture & Benefits
- Comprehensive health and sports packages (Luxmed, Medicover Sport).
- Paid certifications and access to professional educational and language platforms.
- Workation options and flexible work environment.
- Access to internal tech communities in AI, Cloud, Architecture, and Security.
- Office perks including free parking and fresh fruits.
Hiring process
- Initial short phone screening with a recruiter (up to 30 minutes).
- One-hour technical and general interview via Microsoft Teams.
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