We are looking for a skilled and motivated DevOps Engineer to join our team and support the development and deployment of cutting-edge Generative AI platforms. In this role you will help design implement and manage secure scalable and highly available cloud infrastructure - primarily on Microsoft Azure - to power AI/ML and conversational AI solutions.
Your Responsibilities
- Design implement and manage cloud infrastructure for GenAI-based platforms (Azure-focused).
- Maintain and enhance CI/CD pipelines for deploying AI/ML and conversational AI solutions.
- Automate provisioning monitoring and scaling of cloud-native microservices (Kubernetes Docker Helm Terraform).
- Support production operations including monitoring logging alerting and disaster recovery.
- Collaborate with AI/ML engineers backend developers and compliance teams to deliver GenAI products.
- Follow best practices for Infrastructure as Code (IaC) and contribute to cloud cost optimization.
- Integrate and manage data storage solutions (Azure PostgreSQL Flexible Server data lakes warehousing).
- Build and maintain secure data pipelines (ETL/ELT).
- Support API integrations API gateways and service mesh components for multi-channel (chat/voice) deployments.
- Ensure compliance with privacy GDPR and secure data handling standards.
- Continuously learn and grow within a collaborative DevOps team environment.
Qualifications :
- 2 years of hands-on experience in DevOps or Cloud Engineering.
- Experience with Azure (preferred) AWS or similar cloud platforms.
- Proficiency in Kubernetes Docker Helm and Terraform.
- Familiarity with CI/CD tools (Azure DevOps Jenkins) and scripting (Python Bash).
- Understanding of cloud networking API gateways load balancing and monitoring/logging tools (Prometheus Grafana ELK).
- Experience with data storage solutions and ETL/ELT concepts.
- Basic knowledge of cloud security GDPR compliance RBAC and auditability.
- Strong troubleshooting skills and willingness to support incident management.
- English and Polish language at a minimum B2 level.
- Degree in Computer Science IT or related fieldor equivalent experience.
Nice to Have
- Experience with AI/ML workloads model deployment or MLOps.
- Familiarity with Apache Kafka for system integration.
- Knowledge of chatbot/voicebot infrastructure or Genesys/Contact Center integrations.
- German.
Additional Information :
Hybrid work - 3 days from the office per week from Warsaw Lublin or Pozna.
Remote Work :
No
Employment Type :
Full-time