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