DevOps Engineer

Project overview

For deployment with our client in Zurich, we are looking for a DevOps Engineer

Responsibilities

• 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 development 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 the client application with conceptual questions, integrations (onboarding), and operational issues
• Monitoring of system performance, uptime, and logs to identify and resolve problems early
• New and further development of code-based implementations for, for example, authorization checks, logging/monitoring, routing logic, guardrail validations with 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 (M)
• In-depth knowledge of Azure Cloud services: Azure API Management, AKS, Azure Functions, OpenAI, AI Search, Document Intelligence, Azure Foundry, Storage Accounts (M)
• 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 (M)
• Ideally, project experience with GenAI technologies, including Retrieval-Augmented Generation (RAG) and Agentic AI, as well as experience in optimizing GenAI solutions (K)
• Ability to develop concepts and architectural solutions and to represent them to IT Security and Domain Architecture. (K)
• Sound understanding of authentication and authorization procedures using Azure EntraID, RBAC, and OAuth concepts (K)
• Knowledge in software development with Python and/or Java (K)
• German: C2 – Near-native proficiency
• English: C1 – Professional working proficiency – Advanced (CAE)
• No Subcontracting allowed!

Project details

January 1, 2027

End: March 31, 2028

100%

Zurich and remote (only within Switzerland)

Inform yourself about your opportunities with Ms. Stefanie Hongler or send us your CV directly by email to *@*.com. We look forward to hearing from you.

We refer to our data protection regulations (see at www.profilogic.com).

• Start: 2027-01
• Duration: 14 Monate
• Remote: hybrid
• Location: Zürich, Schweiz, CH
• Languages: German