Senior DevOps Engineer – GenAI Platform & Azure Cloud (100%)

Would you like to actively shape the development of innovative AI solutions? As a Senior DevOps Engineer, you will advise on the construction of a modern GenAI platform and contribute your technical expertise to its conception and implementation. In an interdisciplinary DevOps team consisting of Data Scientists, Business Engineers, and DevOps Engineers, you will jointly develop future-oriented solutions and drive the platform's development forward.

Main Tasks:

• Configuration and management of Azure Cloud resources, particularly API Management, Foundry, OpenAI, AI Search, Document Intelligence, as well as Kubernetes-based applications like Langfuse as "Infrastructure-as-Code" with Terraform, HelmChart, and Gitlab

• Automation of build, test, and release processes for GenAI applications (LLMOps) to ensure frequent and reliable releases in development, test, and production environments

• Participation in the elaboration of technical concepts for the implementation of new requirements for the GenAI platform, as well as its ongoing development and optimization. All components (databases, LLM models and other AI services, applications), efforts, ongoing operations with various client applications, and especially company-wide and regulatory requirements must be considered and coordinated.

• Implementation of mechanisms for monitoring and alerting (e.g., Grafana and Azure Dashboard) to ensure the stability and efficiency of the platform

• Support of client applications with conceptual questions, integrations (onboarding), and operational issues

• Monitoring system performance, uptime, and logs to identify and resolve problems early

• Development and further development of code-based implementations for, for example, authorization checks, logging/monitoring, routing logic, guardrail validations using Java, Python, XML, C# (APIM Policies)

Requirements:

• Sound knowledge of DevOps toolchains (e.g., Git, Gitlab, Docker, Terraform) to provide and operate platform services state-of-the-art

• In-depth knowledge of Azure Cloud services: Azure API Management, AKS, Azure Functions, OpenAI, AI Search, Document Intelligence, Azure Foundry, Storage Accounts

• Knowledge in the area of DevOps, including the use of monitoring tools (e.g., Prometheus, Grafana, Azure Monitor), logging systems, and alerting, to ensure high availability

• Ideally, project experience with GenAI technologies, including Retrieval-Augmented Generation (RAG) and Agentic AI, as well as experience in optimizing GenAI solutions

• Ability to develop concepts and architectural solutions and to represent them to IT Security and Domain Architecture

• Sound understanding of authentication and authorization procedures using Azure EntraID, RBAC, and OAuth concepts

• Knowledge in software development with Python and / or Java

General Framework Conditions:

• Workload: 100%

• Engagement: from January 1, 2027, to March 31, 2028

• Work location: On-site at the client's premises in Zurich

• Good German and English skills are mandatory

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