Strong white-box and black-box debugging and troubleshooting capability across applications, Linux operating systems, Kubernetes, containers, networks and storage
Proficiency in programming languages commonly used in bioinformatics and data science (e.g., Python, R) and familiarity with machine learning frameworks.
Design the core capabilities of the AI product: intent understanding, task decomposition, tool use, context and memory, human-in-the-loop interaction, and safety guardrails.
Working knowledge of: * IIS / NGINX / Apache, * Microsoft SQL Server / MySQL / MariaDB, * SQL queries, * Application and web server log analysis, * TCP / IP, DNS and HTTP / HTTPS, * SSL / TLS certificates, * REST APIs and system integration concepts, * MS Power Platform, * MS Copilot Studio
Real-Time Commonality Analysis: Design systems that perform live commonality analysis across multiple equipment sets and batches to pinpoint root causes of defects as they occur.
Develop and standardise network configurations, operational runbooks and delivery processes; identify and follow up on recurring issues to prevent recurrence.