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 Kafka
- Knowledge 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
