Cloud DevOps Engineer
1 week ago
GENERAL RESPONSIBILITIES:
Responsible for designing, building, and maintaining robust, scalable, and automated cloud-based platforms that enable AI and machine learning capabilities within the organization. The role ensures that the platform supports seamless integration of AI models, DevOps pipelines, and security automation to deliver high-performing, cost-efficient, and future-ready digital solutions.
The engineer will collaborate closely with architects, developers, and data scientists to operationalize AI workloads, automate deployments, and maintain the overall health and scalability of the enterprise platform infrastructure.
DUTIES AND RESPONSIBILITIES:
- Design, implement, and manage cloud-native platforms (AWS, GCP) that support AI, ML, and DevOps workloads.
- Develop CI/CD and MLOps pipelines for automated deployment, versioning, and monitoring of AI/ML models.
- Implement infrastructure-as-code (Terraform, CloudFormation) to automate provisioning and environment management.
- Build and maintain containerized applications and orchestration systems (Docker, Kubernetes).
- Develop serverless and event-driven architectures for cost optimization and scalability of AI functions.
- Collaborate with AI/ML engineers to deploy and optimize LLMs and AI frameworks such as LangChain and Open WebUI.
- Integrate AI-driven automation into DevSecOps workflows to enhance system security, monitoring, and maintenance.
- Ensure platform reliability, availability, and compliance with security best practices and governance standards.
- Stay up to date with emerging technologies in AI systems, cloud automation, and agentic platforms to enhance platform capabilities.
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