Summary
✨ AI‑Generated
A technical support and quality engineering role focused on diagnosing complex software and hardware issues, validating systems, and improving reliability of connected solutions.
Highlights
Work on IoT and telemetry-driven systems with opportunities in troubleshooting, testing, diagnostics, and quality improvement.
Description
🔵Project Description:
Development of monitoring and diagnostics system.
It fulfils both local and remote data access and analytics requirement, as well as local and remote troubleshooting purpose.
The work responsibilities contain L2 support + manual testing.
Most of the L1 support team is in Asian tmezone, but we still have preferred EU zone.
🔵Responsibilities:
Responsible for ensuring the reliability and quality of telemetry‑driven IIoT systems through advanced troubleshooting, manual testing, and protocol‑level diagnostics across edge and cloud environments.
The L2 Support Engineer / Manual QA Engineer is responsible for second‑line support and quality validation of IoT and IIoT systems handling real‑time telemetry data.
The role investigates complex issues escalated from L1, performing root‑cause analysis using logs, metrics, telemetry streams, and monitoring tools.
It involves diagnosing problems across edge and cloud environments, often running on Linux‑based systems.
The engineer validates fixes and configuration changes before production release and collaborates closely with development, DevOps, and L3 teams.
In parallel, the role performs manual functional, integration, and regression testing across UI, API, and backend layers.
A key responsibility is validating end‑to‑end data flows from devices and gateways through brokers and backend services to dashboards and reports.
The engineer ensures data accuracy, correct aggregation, timestamp alignment, and proper resolution in time‑series data.
The role requires hands‑on work with industrial and IoT protocols such as Modbus and MQTT, including validation of payloads, connectivity, and reconnection behavior.
It also involves using monitoring and diagnostic systems to detect latency, data loss, or anomalies in real‑time systems.
Overall, the role ensures system reliability, data quality, and observability while supporting continuous improvement across support and QA processes.
🔵Mandatory Skills Description:
Preferrably IT education
Experience as a Manual QA Engineer and L2 Support Engineer
Strong experience with:
Telemetry data and time‑series data
Industry Monitoring and diagnostic platforms or Control systems
Edge and Cloud service experiences
Hands‑on knowledge of Modbus, MQTT or similar IIoT/industrial protocols
Strong manual testing experience (UI, API, backend)
Strong troubleshoot experiences to analyze logs, metrics, and protocol‑level issues
Understanding of IIoT architectures and data pipelines
Experience with databases (SQL / NoSQL / Time Series)
Linux knowledge
🔵Nice-to-Have Skills Description:
- AWS Green Grass
• CI/CD (Jenkins)
🔵Languages:
English: B2 Upper Intermediate
🔵Our Benefits:
💼 Employment & Compensation
Stable employment based on an employment contractCopyright-based remuneration for Developers, resulting in a higher net salary🏥 Health & Well-being
LuxMed private health and dental careLife and travel insuranceMyBenefit program (sports card, well-being initiatives, and more)Employee Assistance Program for you and your family, including psychological consultations, coaching sessions, and support in personal matters🚗 Everyday Convenience
Car rental options🎓 Learning & Development
Access to the LuxTalent platform, offering webinars, training sessions, and certified courses🌍 Career Growth & Mobility
Internal Mobility Program, enabling rotation between projects, locations, and accounts…and much more!