Senior Azure DevOps Engineer - GenAI

Project overview

For a long-term project with our client in Zurich (remote share only possible within Switzerland), we are looking for a Senior Azure DevOps Engineer - GenAI.

Key Facts

Responsibilities

Mandatory Requirements

Optional Requirements

Further Information

Let’s power the future together

From business case to implementation: As a leading consulting firm for strategic transformations, we are a trusted partner for our clients - and for our employees. Responsible, high-performing, and always with a focus on people. #WeAreWavestone

With our 360° portfolio of consulting services, we combine first-class industry expertise with a broad spectrum of cross-industry competencies, work interdisciplinarily, and think outside the box. We thus offer our partner companies and freelancers comprehensive perspectives within our own projects and, as a long-standing framework agreement partner, support them in filling project vacancies – promptly and directly.

We look forward to hearing from you!

Your direct contact at Wavestone

Lejla Nametak

Phone: [contact removed]

Email: [contact removed]

• Configure and manage Azure cloud resources, especially API Management, Foundry, OpenAI, AI Search and Document Intelligence, as well as Kubernetes-based applications like Langfuse as Infrastructure-as-Code with Terraform, Helm charts and GitLab
• Automate build, test, and release processes for GenAI applications and LLMOps to enable reliable releases in development, test, and production environments
• Develop technical concepts for new requirements for the GenAI platform and help shape its ongoing development and optimization; coordinate platform components, effort, operation, and organizational and regulatory requirements
• Implement monitoring and alerting mechanisms, for example with Grafana and Azure Dashboards, to ensure platform stability and efficiency
• Support client applications with conceptual questions, onboarding and integrations, as well as operational issues
• Monitor system performance, availability, and logs to identify and resolve problems early
• Re-develop and further develop code-based solutions for authorization checks, logging and monitoring, routing logic, and guardrail validations using Java, Python, XML, and C# (APIM Policies)
• 5–8 years of experience as an Azure DevOps Engineer with a focus on GenAI, ideally in a banking environment
• Sound knowledge of DevOps toolchains, especially Git, GitLab, Docker, and Terraform
• In-depth knowledge of Azure Cloud services, especially Azure API Management, AKS, Azure Functions, OpenAI, AI Search, Document Intelligence, Azure Foundry, and Storage Accounts
• Knowledge in DevOps monitoring, logging, and alerting, especially with Prometheus, Grafana, and Azure Monitor, to ensure high availability
• Open personality with a quick grasp of concepts
• Fluent German and English skills, both written and spoken
• Project experience with GenAI technologies, ideally including Retrieval-Augmented Generation (RAG), Agentic AI, and optimization of 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 with Azure Entra ID, RBAC, and OAuth
• Knowledge in software development with Python and/or Java
• Deployment duration: January 2027 to March 2028 with option for extension
• Workload: 100%
• Location: Zurich & Remote (only possible within Switzerland)
• per week

Project details

01.01.2027

15 months /

Utilization: 100 %

Type of deployment:

Zurich

Country of deployment: Switzerland

• Start: 2027-01-01
• Duration: 15 Monate /
• Remote: onsite
• Location: Zürich, Switzerland, CH
• Languages: German