Senior Software Engineer (Linux)
Luxoft DXC
⚲ Krakow
Wymagania
- C++
- Python
- gRPC
- D-Bus
Opis stanowiska
This role is for an experienced Linux Platform Engineer who thrives on solving complex, ambiguous technical problems across the full system stack. You will be the engineering point of contact for critical customer escalations on our next-generation Linux-based devices, including cameras, microphone pods, switches, and other peripherals. Beyond reactive support, you will drive proactive improvements, develop proof-of-concept solutions, and contribute to feature development that prevents future issues. This is not recipe-based technical support. You will operate as a full-stack systems engineer, hunting down root causes in kernel logs, network traces, audio pipelines, and video subsystems. You will propose and implement fixes, collaborate with product engineering teams, and ensure our enterprise customers have world-class experiences. You will be responsible for overall system design and development efforts. You will be responsible for optimizing core aspects of the software that are critical to product design and experience. - Lead and participate in the design, and development of our next generation Products. - Work closely with a team of software engineers to translate overall system architecture and product requirements into well-designed and implemented software components. - Participate and conduct technical reviews of system design and interface requirements and provide technical feedback and make recommendations. - Serve as the primary engineering escalation point for complex customer issues on Linux-based CollabOS devices, performing deep technical triage and root cause analysis. - Develop fixes, workarounds, and patches for identified issues, coordinating with platform teams to ensure proper integration into mainline releases. - Create diagnostic tools, scripts, and documentation that improve the efficiency of future troubleshooting efforts. - Drive proof-of-concept development and feature work as capacity allows, contributing to platform improvements informed by real-world customer feedback. - Analyze device telemetry and logs to identify patterns, predict issues, and propose systemic improvements. - Build and maintain knowledge bases and escalation procedures that capture tribal knowledge and enable faster resolution times.