Senior DevOps/MLOps Engineer
Posted 68ds ago
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Job Description
DevOps/MLOps Engineer ensuring infrastructure, automation, and operations for AI solutions at Verity. Integrating platforms like Azure and SAP BTP for improved performance and security.
Responsibilities:
- Ensure the infrastructure, automation, and operation of AI solutions and agents, guaranteeing environment stability, scalability, and security.
- Enable integration between AI platforms, SAP BTP, and Microsoft Azure, ensuring consistency across development, deployment, and operations.
- Implement and maintain CI/CD pipelines for applications, AI agents, and associated services.
- Provision, configure, and operate environments in Azure, following security and scalability best practices.
- Ensure solution stability and lifecycle management (LLMOps) and control token consumption.
- Automate deployments, versioning, and releases of applications and agents in Azure.
- Manage containers, managed services, and infrastructure resources.
- Work on monitoring, logging, and troubleshooting of production environments.
- Implement MLOps practices for model versioning, experiment tracking, and lifecycle management.
- Ensure reproducibility, traceability, and governance of AI solutions.
- Support rollout, rollback, and scalability strategies for agents.
Requirements:
- Hands-on experience with Microsoft Azure (compute, networking, security, and observability).
- Experience with CI/CD pipelines, cloud automation, and operations.
- Azure DevOps / GitHub Actions or equivalent CI/CD tools.
- Infrastructure and deployment automation (IaC and automation scripts).
- Containers and service orchestration (Docker and similar technologies).
- MLOps / LLMOps, including: model versioning, experiment tracking, model and agent lifecycle management, monitoring and control of token consumption, monitoring, logging, and troubleshooting of production environments.
- Release management, rollout and rollback strategies, and scalability planning.
- Integration between AI platforms, SAP BTP, and Azure.
Benefits:
- Meal allowance
- Food allowance
- Home office allowance
- Health insurance
- Dental insurance
- Life insurance
- Partnership discounts
- Agreements with establishments and educational institutions
- Recurring agile training
- Alura licenses
















