Financiële diensten
Platform DevOps Engineer (AI & Analytics Platform)
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About the role
Platform Engineer focused on an agentic AI platform within an analytics-focused technology environment. The assignment centers on designing, building, and maintaining scalable platform capabilities that enable advanced analytics and AI solutions. You will collaborate with a multidisciplinary data and engineering community supporting a wide range of analytics and AI use cases.
What you will do
Develop and maintain platform infrastructure for AI and analytics use cases, leveraging containerization and orchestration technologies such as Docker and Kubernetes. Build and optimize cloud-native solutions in major cloud environments, and contribute to an agentic AI platform using emerging AI paradigms. Implement and improve observability using modern frameworks, and collaborate with cross-functional teams to enhance platform scalability and usability. Work with relevant open-source AI frameworks and maintain reliable operations for platform services.
Eisen
- Language: English mandatory
- ZZP Allowed: No
- 7+ years of experience in Platform Engineering or a similar role
- Experience with Kubernetes
- Experience with Containerization (Docker)
- Experience with Cloud platforms (AWS and/or Azure)
- Experience with Infrastructure as Code tools such as terraform
- Experience with Python
- Candidate submission exclusively during the exclusivity period of 4 business days on one request
- Candidate available throughout the entire duration of the assignment
- All submitted candidates must possess a valid Passport or ID card
Wensen
- Experience with agentic platforms or advanced AI frameworks is a strong plus
- Familiarity with observability frameworks (e.g., OpenTelemetry)
- Experience working with open-source AI frameworks like LangChain or LangGraph is highly desirable