Zinkworks

DevOps Engineer

• Design, build, and maintain CI/CD pipelines supporting cloud-native and AI-driven services.
• Implement and manage Infrastructure as Code (IaC) for cloud environments using tools such as Terraform.
• Deploy, operate, and optimise containerised workloads using Kubernetes (GKE) and cloud-native runtimes.
• Ensure platform availability, scalability, and resilience through proactive monitoring and optimisation.
• Embed security best practices into pipelines and infrastructure, including IAM, secrets management, and vulnerability scanning.
• Collaborate closely with engineering teams to improve deployment patterns and operational readiness.
• Implement observability across the platform using logging, metrics, and alerting.
• Contribute to platform standards, documentation, and operational runbooks.

Senior DevOps Engineer

Risk

• Lead data discovery and identify all data sources required to support AI use cases
• Define Critical Data Elements (CDEs) and associated metadata, ensuring clear semantic meaning and relationships
• Establish data quality rules and contribute AI-specific requirements into data contracts (e.g. fields, latency, refresh rates)
• Define AI data requirements including accuracy, completeness, timeliness, and availability
• Specify requirements for feature stores, including reusable features, transformation logic, and update frequency
• Define embedding and vector store requirements to support semantic search and contextual AI use cases
• Document end-to-end data lineage to ensure traceability and trust in AI outputs
• Define data lifecycle and retention policies aligned to cost, performance, and compliance needs
• Identify and classify sensitive data, ensuring compliance with GDPR and other regulatory obligations
• Provide input into AI data readiness assessments in collaboration with Data Governance stakeholders

Senior DevOps Engineer

Data Governance Specialist