Employer description & source details
Manufacturing and Test Data Platforms: Build, own, and improve data pipelines that collect, standardize, and organize manufacturing and test data. Integrate data from multiple internal and external sources, including lab test systems and manufacturing partners. Improve data quality, pipeline reliability, handling of changing formats, and visibility into pipeline health. Add support for new products, data sources, and manufacturing partners with minimal manual effort. Make the tools engineers use to access and analyze data faster and easier to use. Maintain and improve automation systems that support hardware validation and production testing. Keep build, test, and release workflows manageable, repeatable, and version controlled. Operate and improve automated tools that process results, classify failures, and route issues to the right teams. Reduce repetitive debugging through better classification, dashboards, and internal tooling. Infrastructure, Reliability, and Monitoring Operate services on Linux-based infrastructure using containers and cloud-hosted systems. Support core platform services such as storage, scheduled jobs, and deployment automation. Build and improve monitoring, alerting, and dashboards so issues are detected early. Strengthen day-to-day operations with runbooks, alert tuning, and safer rollout practices. Internal Tools and Cross-Functional Support Support and extend shared telemetry and logging systems. Build practical tools that help engineers explore logs, look up records, and diagnose failures faster. Help build automated or AI-assisted debugging tools where they provide clear value. Act as a technical point of contact for issues involving manufacturing data and test platforms. Work closely with hardware, firmware, test, IT, and external partners
Extracted skills: python, operations