About this role
As a Senior DevOps Engineer, you will be responsible for:
Design, implement, and manage scalable, secure, and highly available cloud infrastructure for GenAI-based platforms (Azure-focused).Develop, maintain, and optimize CI/CD pipelines for rapid, reliable deployment of AI/ML and conversational AI solutions.Automate provisioning, monitoring, scaling, and failover for cloud-native microservices (Kubernetes, Docker, Helm, Terraform).Ensure 24/7 operations practices, including monitoring, logging, alerting, and disaster recovery for production AI workloads.Collaborate closely with AI/ML engineers, backend developers, and security/compliance teams to ensure end-to-end delivery of GenAI products.Implement best practices for infrastructure as code (IaC), cost management, and cloud resource optimization.Integrate and manage data storage solutions (Azure Postgres Flex, data lakes, warehousing) and secure data pipelines (ETL/ELT).Support the integration of APIs, API gateways, and service mesh components for scalable multi-channel (chat/voice) deployments.Contribute to privacy, GDPR, and compliance standards- enabling secure, auditable handling of sensitive data.Mentor junior DevOps/Cloud Engineers and promote DevOps culture in the GenAI team.This role offers the opportunity to work at the forefront of Generative AI technologies, shaping cloud-native platforms that power next-generation conversational and AI-driven solutions.
Degree in Computer Science, Information Technology, or a related field.5+ years’ hands-on experience in DevOps or Cloud Engineering, including Azure (preferred), AWS, or similar environments.Strong knowledge of Kubernetes, Docker, Helm, and Terraform (infrastructure as code).Proven experience with CI/CD tools (Azure DevOps, Jenkins) and automation scripting (Python, Bash, etc.).Experience managing secure, high-availability, and large-scale distributed systems in production (24/7 ops).Deep understanding of cloud networking, API gateways, load balancing, and monitoring/logging stacks (Prometheus, Grafana, ELK).Familiarity with data storage solutions (Azure PostgreSQL, data lake/warehousing) and secure ETL/ELT pipelines.Solid experience with cloud security, compliance (GDPR), RBAC, and auditability.Strong troubleshooting, incident management, and performance tuning skills.Nice to have requirements
Experience supporting AI/ML workloads, model deployment, or MLOps is a plus.Integration of systems using Apache KafkaKnowledge of voice/chatbot infrastructure or Genesys/Contact Center integrations beneficial.German language is a plus. Remote or hybrid work from one of our office in Warsaw, Poznań or Lublin.Proficiency in Polish and English at the B2 level is essential.We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at: https://inetum.whispli.com/speakup?locale=pl