Senior Software Engineer focusing on manual and automated testing for AI - driven SecOps software solutions. Collaborating with teams to ensure effective deployment and testing processes.
About the role
- Firmware Test Automation Engineer at HALOS creating test automation for body-worn camera platform. Involved in building reliable regression systems and video validation.
Responsibilities
- Build the automation foundation
- Design and implement a maintainable test automation framework for embedded Linux firmware.
- Build the end-to-end daily pipeline: fetch latest firmware → upgrade/flash devices → execute suites → collect artifacts → publish reports.
- Make the system robust: retries, device recovery, quarantining flaky devices/tests, clear failure classification.
- Automate core camera workflows
- Recording start/stop behaviours, file integrity, metadata correctness, storage handling.
- Device lifecycle behaviours: reboot, crash recovery, factory reset paths, upgrade/rollback scenarios.
- Video validation automation (MP4, H.264/H.265)
- Automate decode integrity and structural checks (e.g., via FFmpeg/ffprobe).
- Validate stream properties (codec/profile, resolution, fps, bitrate), timestamp sanity, and dropped-frame indicators.
- Produce actionable artifacts (ffprobe JSON, short clips, logs) for triage.
- Streaming validation automation (RTSP + WebRTC)
- Automate connect/setup/teardown, stability, reconnection behaviour, and basic performance metrics.
- Capture and report streaming metrics (e.g., bitrate/FPS, jitter/RTT/packet loss where available) and attach useful artifacts (logs/stats, pcaps as needed).
- Stress, soak, performance & resilience testing
- Expand automation beyond functional tests to include repeatable, automatable stress and longevity coverage:
- Long-duration recording (soak), repeated record/stop cycles, rapid user-action loops
- Low storage / near-full disk behaviour, rollover, integrity after abrupt shutdown/power loss
- Battery edge cases (low battery recording), charging transitions, thermal-related scenarios (where observable)
- OTA/upgrade stress (repeat upgrade/downgrade, interrupted upgrade recovery)
- Network impairments for RTSP/WebRTC (loss/jitter/delay; bandwidth constraints) and reconnection loops
- Parallel execution across a fleet (multiple devices in CI daily)
- Define clear pass/fail criteria and trend metrics to reduce noise and catch regressions early.
- Lab / hardware-in-the-loop ownership
- Build and maintain test rigs and device control: provisioning, reset/recovery, power cycling, docking workflows.
- Scale execution across multiple devices running in parallel.
- Quality signal and collaboration
- Triage failures, isolate root cause, and write high-signal bug reports (repro steps, logs, clips, stats, traces).
- Partner with firmware engineers to improve testability and reduce flaky failures.
- Tooling & platform
- Source control/build environment: Bitbucket (Bitbucket repos; Bitbucket Pipelines or alternatives acceptable)
- Target platform: Embedded Linux
- Media + streaming: MP4 (H.264/H.265), RTSP, WebRTC
- This is a new function: you’ll have freedom to propose and introduce tools, with an expectation of maintainability and measurable outcomes.
Requirements
- Strong experience building test automation for firmware/embedded systems (not only web/app UI).
- Strong scripting/programming (Python preferred; Bash/Go welcome).
- CI mindset: can build unattended daily execution with artifacts and easy triage.
- Comfort in Linux environments (logs, SSH, tooling, system debugging).
- Solid networking fundamentals (TCP/IP; practical debugging).
- Video validation using FFmpeg/ffprobe (metadata, decode checks, timing/PTS sanity, regression signatures).
- Streaming validation using GStreamer (RTSP; ideally WebRTC via webrtcbin or equivalent).
- Wireshark/tshark experience for network trace triage.
- WebRTC metrics understanding and automation (browser getStats() or non-browser approaches).
- Camera/video domain experience (body-worn, CCTV, dash cams).
- MP4 container tooling (e.g., MP4Box/GPAC) and compatibility pitfalls.
- Frame/content validation in automation (OpenCV/PyAV) for frozen/black frames, overlay checks.
- Network impairment testing
Benefits
- Generous Annual Leave Allowance
- Competitive salary and commission/bonus package
- Learning and Development opportunities
- Private Health Insurance
- Cycle to work scheme
- Home & Tech scheme
- Regular company events and social initiatives
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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