Deployment Engineer
Nextracker Inc.
2 - 4 years
Hyderabad
Posted: 27/12/2025
Job Description
Role: System Monitoring & Deployment Engineer
Exp: 1-2yrs
Role Summary
This role serves as a key extension of the U.S. Technical Services team, delivering high-impact analytical and technical support during U.S. after-hours. The System Monitoring & Deployment Engineer is responsible for ensuring the reliability, performance, and continuous improvement of Nextrackers solar tracking systems through data-driven analysis, remote monitoring, and high-quality technical execution.
Youll be a core player in expanding backend operational capabilities, strengthening customer experience, and enabling seamless field operations globally.
What Youll Do
Deployment & Integration Leadership
- Lead and execute software and firmware deployments for solar tracking systems, ensuring quality, validation, and seamless integration across customer sites.
- Deliver structured training and onboarding for customers and partners to maximize system adoption and operational readiness.
Analytical Troubleshooting & Root Cause Resolution
- Perform in-depth diagnostics, leveraging monitoring data and system logs to identify failure patterns, isolate root causes, and implement corrective actions.
- Partner with field teams to guide resolution steps and prevent recurrence through structured problem-solving.
Remote Monitoring & Operational Control
- Provide real-time oversight of system health using SCADA and monitoring platforms, escalating anomalies and coordinating with field resources to minimize downtime.
- Maintain a high-quality incident log that feeds engineering, reliability, and product teams with actionable insights.
Risk Identification & System Reliability Improvement
- Proactively identify performance degradation, configuration risks, and failure trends across the global fleet.
- Recommend and track reliability improvements, procedural enhancements, and system updates that drive operational efficiency.
Cross-functional Technical Collaboration
- Work closely with Engineering, Product, and Operations teams to validate fixes, improve workflows, and enhance the monitoring ecosystem.
- Contribute technical feedback that shapes future product improvements and customer-facing documentation.
Reporting, Insights & Technical Documentation
- Develop data-driven reports, dashboards, and technical summaries that translate system behavior into actionable insights for stakeholders.
- Prepare clear customer-facing communication, service proposals, and incident reports that reflect technical rigor and professionalism.
Customer Issue Resolution & Experience Ownership
- Serve as a technical escalation point for customer concerns related to tracker performance, providing solutions and coordinating follow-through across teams.
- Maintain a customer-first approach by ensuring timely updates, transparent communication, and well-documented resolutions.
What Youll Need
- Bachelors degree in Electrical/Electronics Engineering, Renewable Energy, or a related technical field.
- 12 years of experience in renewable energy systems, industrial automation, or other technical operations environments.
- Demonstrated ability in system monitoring, performance analysis, or field support involving complex electromechanical or IoT systems.
- Experience with SCADA systems, industrial monitoring tools, or remote operations platforms.
- Proficiency in analytics tools such as Databricks, Power BI, Tableau, or equivalent, with the ability to create KPI dashboards and drive data-informed decisions.
- Strong technical writing and communication skills, capable of producing high-caliber reports and customer-ready presentations.
- Proven problem-solving mindset with the ability to work independently, prioritize effectively, and anticipate operational risks.
- Willingness to travel up to 20% to support field deployments, training, and escalations.
Preferred Skills
- Basic programming experience in Python, C, or scripting languages for troubleshooting, data manipulation, or workflow automation.
- Familiarity with AI/ML-based tools for predictive performance analysis, anomaly detection, and automated reporting.
- Experience supporting U.S.-based technical operations from international time zones.
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