Experience in semiconductors, hardware test, manufacturing test, or a similar engineering environment Familiarity with production test data, yield analysis, or manufacturing diagnostics Experience with public cloud services and secure external data exchange workflows Experience with infrastructure automation and configuration management tools Experience integrating collaboration and issue-tracking systems into automated workflows Experience working with external vendors, labs, or manufacturing partners Interest in AI-assisted failure analysis, debugging workflows, or internal knowledge tools Strong interest in building durable internal platforms that scale with engineering and manufacturing needs Salary range is $135,000 to $170,000 depending on experience, level, and business need. Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a rated field 3+ years building and operating backend systems, data systems, developer infrastructure, or internal platforms Strong Python skills, including production services, scripts, libraries, or automation tools Experience with large-scale data processing and structured data pipelines Practical understanding of changing data formats, data quality challenges, and production data collection Experience with relational, analytical, or streaming data systems Experience supporting CI/CD systems, Git-based workflows, Linux environments, and containerized or cloud-based services Experience with monitoring and observability tools, and the ability to balance operations with longer-term engineering improvements . .