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.