Role Overview
- Initial 6-month contract. Strong likelihood of extension based on project requirements
- Candidates serving up to 1 month notice period can be considered
- Reporting into the Data & AI Division
- Working on core platform engineering initiatives supporting enterprise-scale data and AI capabilities
We are seeking a Senior Data Platform Engineer with deep expertise in building and managing modern data platform infrastructure. This role is highly platform-focused and requires strong experience with Kubernetes-based environments, GitOps deployment methodologies, and AI/data platform architecture.
The ideal candidate will have hands-on experience designing scalable platforms that enable data and AI workloads, alongside exposure to emerging AI ecosystem technologies and integrations.
Qualifications
- Core Platform Engineering
- Kubernetes (expert level)
- ArgoCD (strong production experience)
- Platform Engineering and Infrastructure Automation
- Cloud-native architecture and operations
- Data & AI Platform Experience
Must demonstrate experience in most or all of the following:
- RAG (Retrieval-Augmented Generation) architecture and implementations
- Memory frameworks/components within AI applications
- Evaluation frameworks for AI/LLM performance and quality assessment
- Ontology design, knowledge representation, or semantic data modelling
- Connectors / MCP (Model Context Protocol) integrations and ecosystem experience
Seniority: Senior Engineer level only
- Proven track record designing and delivering enterprise platforms
- Comfortable engaging with architects, technical leads, and stakeholder
Candidates coming from:
- Data Platform Engineering
- AI Platform Engineering
- ML Platform Engineering
- Cloud Platform Engineering
- Data Infrastructure Engineering
Relevant experience in:
- Large-scale enterprise environments
- Data and AI platform teams
- Modern cloud-native technology stacks
- Location / Talent Strategy
