Job Description
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 field—or 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 Poznań.Participation in on-call duties 24 / 7 (probably one week per month).