Operations Engineer

• OS Mastery: Solid knowledge of the Linux Operating System is mandatory.
• Scripting: Basic proficiency in Python and Shell Scripting for automation.
• Infrastructure: Strong grasp of Hardware and Networking fundamentals.
• Communication: Excellent verbal and written English skills (essential for customer interaction and documentation).
• Certification: Red Hat Certification (RHCSA/RHCE) is highly preferred.
• Education: B.E. / B.Tech / BCA / Diploma / Polytechnic
• Languages: English, Hindi, and a local language

Who You Are

• Adaptable: You are comfortable toggling between remote system monitoring and hands-on field installation.

• Curious: You have a genuine interest in how IoT devices communicate and how AI models are deployed at the "edge."

• Customer-Centric: You can translate complex technical jargon into clear solutions for clients and stakeholders.

• System Monitoring: Proactively monitor a growing fleet of on-field Linux devices to ensure 100% uptime.

• Technical Troubleshooting: Analyze application-level bugs, resolve technical roadblocks, and maintain the health of installed systems.

• Field Deployment: Lead the on-site installation and configuration of our AI products, ensuring they integrate seamlessly with customer hardware.

• Technical Support Consulting: Act as the technical point of contact for customers, resolving issues and identifying opportunities for system optimization.

• Cross-Functional Collaboration: Partner with Sales, Product Managers, and Engineering to define technical guidelines and product specifications based on customer feedback.

• Sales Engineering: Assist in preparing technical proposals and defining the architecture for new client solutions.

Are you a tech-savvy problem solver with a passion for Linux and the future of AI Eagle Eye is looking for an Operations Engineer to bridge the gap between our cutting-edge AI software and real-world field deployments. This is more than a maintenance role-it is a launchpad into the worlds of DevOps, IoT, and Deep Learning.
You will gain hands-on expertise in:

• System-level Linux troubleshooting and Networking fundamentals.
• DevOps Microservices: Docker, RESTful APIs, and modern deployment pipelines.
• AI Implementation: Real-world application of Deep Learning and Intelligent Surveillance (NVR/DVR/IP Cameras).

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