Senior DevOps Engineer | GenAI 1

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.

Qualifications :

• 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.

Additional Information :

• 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:  Work :

  No

  
  

  Employment Type :

  Full-time