Azure DevOps Engineer

Solvex Solutions; Zürich; Vor Ort; CHF 130.000 - 190.000; Vollzeit

Zusammenfassung

Solvex Solutions in Zürich is seeking an Azure DevOps Engineer specialized in GenAI Platform Engineering and LLMOps to build, operate, and continuously improve a modern GenAI platform on Microsoft Azure.

You will manage Azure cloud infrastructure, automate deployments, and ensure secure, scalable operation of GenAI applications with Kubernetes, Terraform, and GitLab CI/CD across development through production environments.

Qualifikationen

• Strong hands-on experience with Microsoft Azure cloud services and infrastructure management.
• Experience with DevOps toolchains and automation, particularly Git, GitLab CI/CD, Docker, and Terraform.
• Practical experience with Kubernetes-based applications and infrastructure automation.
• Experience with monitoring, logging, and alerting tools such as Prometheus, Grafana, and Azure Monitor.
• Project experience with Generative AI technologies, particularly Retrieval-Augmented Generation (RAG) and/or Agentic AI.

Aufgaben

• Develop, operate, and continuously improve a modern GenAI platform based on Microsoft Azure.
• Provision and manage infrastructure as code using Terraform, Helm Charts, Git, and GitLab.
• Automate build, test, and release processes for GenAI applications to ensure reliable deployments across development, testing, and production environments.
• Operate and further develop Kubernetes-based applications and services, including tools such as Langfuse.
• Implement and optimize monitoring, logging, and alerting solutions using Prometheus, Grafana, and Azure Monitor.
• Monitor system performance, availability, and logs while proactively identifying and resolving operational issues.
• Develop technical concepts and architectural solutions to support new requirements and continuously optimize the GenAI platform.
• Implement and enhance authorization checks, logging, monitoring, and routing logic.
• Ensure compliance with enterprise-wide standards, IT security requirements, and relevant regulatory guidelines.
• Collaborate with IT security, domain architecture, development teams, and other stakeholders.
• Support client application teams with technical guidance, integrations, onboarding, and troubleshooting during production operations.

Kenntnisse

Azure DevOps

GenAI Platform Engineering

LLMOps

Kubernetes

Terraform

GitLab CI/CD

Prometheus

Grafana

Azure Monitor

Langfuse

Tools

Terraform

Helm Charts

Git

GitLab CI/CD

Docker

Kubernetes

Langfuse

Jobbeschreibung

Employment Type: Long-term contract with further extensions

Language: Fluent German and English

Overview:

We are looking for an experienced Azure DevOps Engineer specializing in GenAI Platform Engineering and LLMOps to develop, operate, and continuously improve a modern Generative AI platform built on Microsoft Azure.

In this role, you will be responsible for managing Azure cloud infrastructure, automating deployment pipelines, and ensuring the reliable, secure, and scalable operation of GenAI applications. You will work with technologies such as Azure OpenAI, Azure AI Foundry, Azure AI Search, Kubernetes, Terraform, and GitLab CI/CD to support the deployment and operation of RAG and Agentic AI solutions in production environments.

The ideal candidate combines strong Azure Cloud and DevOps expertise with practical experience in GenAI platforms, infrastructure automation, monitoring, and production operations.

Roles and Responsibilities:

• Develop, operate, and continuously improve a modern GenAI platform based on Microsoft Azure.
• Provision and manage infrastructure as code using Terraform, Helm Charts, Git, and GitLab.
• Automate build, test, and release processes for GenAI applications to ensure reliable deployments across development, testing, and production environments.
• Operate and further develop Kubernetes-based applications and services, including tools such as Langfuse.
• Implement and optimize monitoring, logging, and alerting solutions using Prometheus, Grafana, and Azure Monitor.
• Monitor system performance, availability, and logs while proactively identifying and resolving operational issues.
• Develop technical concepts and architectural solutions to support new requirements and continuously optimize the GenAI platform.
• Implement and enhance authorization checks, logging, monitoring, and routing logic.
• Ensure compliance with enterprise-wide standards, IT security requirements, and relevant regulatory guidelines.
• Collaborate with IT security, domain architecture, development teams, and other stakeholders.
• Support client application teams with technical guidance, integrations, onboarding, and troubleshooting during production operations.

Requirements:

• Strong hands-on experience with Microsoft Azure cloud services and infrastructure management.
• Solid experience with DevOps toolchains and automation, particularly Git, GitLab CI/CD, Docker, and Terraform.
• Practical experience with Kubernetes-based applications and infrastructure automation.
• Experience with monitoring, logging, and alerting tools such as Prometheus, Grafana, and Azure Monitor.
• Project experience with Generative AI technologies, particularly Retrieval-Augmented Generation (RAG) and/or Agentic AI.

Nice to Have:

• Experience optimizing and operating GenAI solutions in production environments.
• Practical experience with LLMOps and the lifecycle management of LLM-based applications.
• Knowledge of authentication and authorization mechanisms, particularly Microsoft Entra ID, Role-Based Access Control (RBAC), and OAuth.
• Programming experience in Python and/or Java.
• Experience developing technical concepts and architectural proposals in collaboration with IT security and domain architecture teams.