Operations Engineer

🕒 July 28

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Operations

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Augury

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

🏭 Manufacturing

🤖 Artificial Intelligence

☁️ SaaS

💰 $75M Series F - Augury on 2025-02

Manufacturing • Artificial Intelligence • SaaS

Augury is a provider of industrial AI and machine health solutions for manufacturers. Augury combines machine and operational data to deliver predictive maintenance, asset condition monitoring, and role-based AI agents that surface prioritized alerts, root-cause diagnostics, and prescriptive actions to reduce downtime and improve production efficiency. The platform integrates sensor and system data across production lines, covers rotating and other critical equipment (pumps, motors, compressors, gearboxes, chillers, conveyors, etc. ), and is positioned as a SaaS Industrial AI Workforce used by global manufacturers to monitor, predict, and act on equipment health and process performance.

📋 Description

• Utilize AI-powered dashboards to monitor production performance, process conditions, and critical operating metrics for industrial manufacturing lines. • Review AI-generated alarms and process deviations; surface and prioritize anomalies to ensure operational continuity. • Act as a critical liaison between Augury's AI insights and on-site personnel, guiding operational workflows and supporting operators with day-to-day decisions via Teams or VoIP. • Maintain meticulous operational logs and key event documentation, ensuring structured handoffs between night shifts and day-time on-site teams. • Provide human-in-the-loop escalation support, applying your manufacturing background to troubleshoot complex industrial process issues.

🎯 Requirements

• Bachelor’s degree in Process Engineering, Chemical Engineering, Manufacturing Operations, or a related technical field. • 4–8 years of experience operating, monitoring, troubleshooting, and optimizing industrial manufacturing processes. • Hands-on experience with industrial systems including DCS, SCADA, Historians (e.g., AVEVA), and Industrial Automation. • Proven ability to analyze complex data sets and draw professional conclusions to improve manufacturing efficiency and yield.

🏖️ Benefits

• Health insurance • Wellness programs • Professional development opportunities • Flexible working hours