Senior Cloud & Data Platform Engineer designing data platform strategies at ONIQ. Influencing cloud architecture and collaborating with Fortune 500 enterprises to enhance manufacturing efficiency.
Responsibilities
Scale multi-cloud infrastructure and design data platform strategy
Define and execute multi-cloud infrastructure roadmap
Architect and build core data processing framework
Develop and optimise APIs and data processing systems using Python
Collaborate with product and engineering leadership to translate business requirements into infrastructure capabilities
Requirements
6+ years in software engineering, cloud infrastructure, or backend/data engineering roles
Deep, hands-on expertise with Kubernetes, major cloud providers (GCP, Azure, AWS), and IaC frameworks (Terraform, OpenTofu, Pulumi)
Strong Python skills with modern data processing libraries (e.g. Polars) and API frameworks (FastAPI, etc.).
Proven experience designing and operating data pipelines, storage solutions (object storage, OLTP/OLAP, caching), and orchestration platforms (Dagster, Prefect, Airflow)
Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
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