Senior Golang Engineer

About the Project

We are developing an innovative video surveillance solution for the railway industry, aimed at making train journeys safer and more efficient. The system will support operators, fleet managers, and security teams in monitoring operations, ensuring compliance with safety standards, and responding quickly to incidents.

This is a strategic, high-impact initiative with strong visibility, offering an opportunity to work with modern technologies in a complex domain where performance, security, and reliability are crucial.

Responsibilities

Design and implement backend services in Golang, focusing on video recording, playback, and data management.

Integrate external systems and metadata sources (e.g., GPS, IBIS-IP, ITxPT) into the solution.

Develop and optimize APIs for communication with fleet management and monitoring systems.

Work with video streaming and processing pipelines (FFmpeg/GStreamer) to ensure stable recording and playback.

Ensure system performance, reliability, and security across all components.

Contribute to database design and optimization using SQLite.

Support architectural improvements and contribute to scalability and maintainability.

Take part in code reviews, testing, and agile development processes.

Work closely with the team to deliver features from concept to deployment.

Requirements

5+ years of professional experience with Golang.

Proven experience with video processing technologies (FFmpeg, GStreamer, or equivalent).

Strong knowledge of network protocols: RTSP, ONVIF, HTTPS (WebRTC experience is a plus).

Hands-on experience with SQLite or similar lightweight relational databases.

Practical experience building REST APIs and integrating with external systems.

Solid understanding of security best practices (TLS/HTTPS, AES-256, firewall rules, authentication).

Strong debugging skills with a focus on video transmission, recording stability, and network protocols.

Familiarity with CI/CD pipelines and Git-based workflows (Azure DevOps preferred).

Ability to work with modular architectures and maintain high code quality in long-term projects.

Nice to Have

Background in embedded systems or edge computing.

Experience with adaptive streaming (HLS/DASH) or WebRTC.

Familiarity with Prometheus, Grafana, or other observability platforms.

Previous work in transportation, safety-critical, or surveillance systems.