Job Description
The Manager, Software Engineering - Machine Learning & Telemetry Engineering leads and develops a team of machine learning engineers responsible for building, scaling, and maintaining QTS’s telemetry, analytics, automation, and data‑driven product capabilities. This role oversees engineering work that enables automated device configuration, telemetry ingestion pipelines, environmental and fuel calculation logic, system topology modeling, and machine‑learning‑powered insights that support operational excellence across QTS facilities.
Responsibilities:
Lead, mentor, and develop a team of software development and Machine Learning professionals.
Plan, coordinate, and oversee ML, telemetry, automation, and data‑pipeline engineering activities.
Manage engineering capacity, performance, and sprint commitments.
Oversee ML models, telemetry pipelines, automation workflows, cloud infrastructure and environmental logic.
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