Hardware–software systems
Systems where physical devices, edge software, and cloud or data-centre services must behave as one product. Work spans interface contracts, update and key management, and operational diagnostics—not only application code.
Context
- IoT and industrial programmes fail when firmware, connectivity, and application layers are owned by different vendors with no end-to-end accountability.
- Security models must cover device provisioning, credential rotation, and compromised-unit response.
- Field variance (power, mounting, RF noise) requires observability from the device outward, not only server metrics.
Problems addressed
- Opaque firmware update paths that leave critical CVEs unpatched in the field.
- Device identity and TLS or key provisioning handled as one-off scripts rather than a lifecycle.
- Telemetry pipelines that lose ordering or duplicate events under reconnect storms.
- Support workflows that cannot distinguish software regressions from hardware faults.
What this work involves
- End-to-end architecture: device OS constraints, OTA strategy, rollback, and staged rollouts.
- Secure provisioning and decommissioning flows; separation between device credentials and user sessions.
- API and message contracts between edge agents and core services with back-pressure and dead-letter handling.
- Field diagnostics: remote logging tiers, safe local commands, and RMA data capture.
- Handover package for NOC or factory IT: playbooks, escalation matrix, and monitoring dashboards tied to SLAs.
Relationship to services
Capability pages describe what kind of technical work sits behind advisory, security, and delivery engagements. Commercial framing, pricing, and engagement shape live under Services.