Job Description
7 days ago
About The Role
Lead architecture and development of an edgeâtoâcloud platform enabling intelligent automation for retail, hospitality, universities, and AI data centers. This IC role may evolve into team leadership. Heavy emphasis on system design, customer engagement, and deep domain understandingânot purely coding.
Key Technical Challenges
⢠Build robust edge gateways integrating Modbus RTU/TCP, BACnet, SNMP in missionâcritical sites.
⢠Ingest highâfrequency telemetry from thousands of devices across multiâsite deployments.
⢠Design realâtime alarms, anomaly detection, and event correlation.
⢠Support cloud, hybrid, and onâprem deployment models.
⢠Enable edge execution of optimization algorithms with cloud synchronization.
⢠Deliver high reliability for enterprise and criticalâinfrastructure customers.
What You Will Do Platform Architecture & Strategy
⢠Define scalable architecture for the edgeâtoâcloud platform.
⢠Translate customer operational needs into technical specs.
⢠Evaluate buildâvsâbuy infrastructure decisions.
⢠Track IoT, DCIM, and automation trends for strategic guidance.
⢠Maintain architectural documentation and standards.
Edge Gateway Development
⢠Build productionâgrade gateway software with local data processing.
⢠Implement protocol adapters: Modbus, BACnet IP, SNMP.
⢠Develop realâtime edge computing frameworks.
⢠Ensure secure, reliable communications between edge and backend.
Backend & Data Platform
⢠Architect scalable ingestion pipelines for highâvolume telemetry.
⢠Design timeâseries storage for realâtime + historical analytics.
⢠Build APIs for dashboards, apps, and integrations.
⢠Support multiâtenant and flexible deployment models.
⢠Manage data aggregation, retention, and efficiency.
Monitoring, Alarms & Operations
⢠Build alarm engines (threshold, rateâofâchange, correlation).
⢠Implement system health monitoring across edge + cloud.
⢠Establish CI/CD for edge and backend.
⢠Design OTA update pipelines with rollback capability.
⢠Build observability (logs, metrics, traces).
Technical Leadership
⢠Collaborate with Controls & Optimization lead on integration.
⢠Work with firmware and frontend teams.
⢠Define backend best practices.
⢠Support customer engagements and technical proposals.
Required Skills
⢠Backend depth: Python, Django/FastAPI, PostgreSQL, Redis, timeâseries DBs, async programming, microservices.
⢠Distributed systems: Edgeâcloud patterns, MQTT/Kafka, synchronization patterns.
⢠Domain knowledge: Building automation, DCIM, SCADA, industrial IoT.
⢠Protocols: Modbus, BACnet, SNMP.
⢠DevOps: Docker, CI/CD, AWS/Azure/Tencent Cloud.
⢠Systems thinking: Realâtime performance, reliability, scalability.
⢠Communication: Customerâfacing skills, documentation.
⢠Languages: English + Mandarin.
Qualifications
⢠5+ years in backend/platform engineering.
⢠Degree in CS/Engineering or equivalent experience.
⢠Experience in IoT, DCIM, building automation, or industrial systems.
⢠Proven ownership of major technical initiatives.
⢠Customerâfacing requirement definition.
⢠Experience with highâavailability or missionâcritical systems preferred.
Ideal Candidate
⢠Domainâaware engineer, pragmatic architect, customerâfacing technologist.
⢠Ownership mindset and strong crossâfunctional collaboration.
⢠Comfortable with ambiguity and fast iteration.
Why Join Gaiamesh
⢠Highâimpact role shaping global AIâdriven building automation.
⢠Collaborative work directly with leadership.
⢠Fast learning across IoT, edge computing, building science.
⢠Share options, flexible work location, 15âday annual leave.
Hiring Process
⢠Nonâtechnical interview with leadership.Short (<4 hr) homework assignment.
⢠Final interview discussing assignment + team meeting.
⢠Offer decision.
Lead architecture and development of an edgeâtoâcloud platform enabling intelligent automation for retail, hospitality, universities, and AI data centers. This IC role may evolve into team leadership. Heavy emphasis on system design, customer engagement, and deep domain understandingânot purely coding.
Key Technical Challenges
⢠Build robust edge gateways integrating Modbus RTU/TCP, BACnet, SNMP in missionâcritical sites.
⢠Ingest highâfrequency telemetry from thousands of devices across multiâsite deployments.
⢠Design realâtime alarms, anomaly detection, and event correlation.
⢠Support cloud, hybrid, and onâprem deployment models.
⢠Enable edge execution of optimization algorithms with cloud synchronization.
⢠Deliver high reliability for enterprise and criticalâinfrastructure customers.
What You Will Do Platform Architecture & Strategy
⢠Define scalable architecture for the edgeâtoâcloud platform.
⢠Translate customer operational needs into technical specs.
⢠Evaluate buildâvsâbuy infrastructure decisions.
⢠Track IoT, DCIM, and automation trends for strategic guidance.
⢠Maintain architectural documentation and standards.
Edge Gateway Development
⢠Build productionâgrade gateway software with local data processing.
⢠Implement protocol adapters: Modbus, BACnet IP, SNMP.
⢠Develop realâtime edge computing frameworks.
⢠Ensure secure, reliable communications between edge and backend.
Backend & Data Platform
⢠Architect scalable ingestion pipelines for highâvolume telemetry.
⢠Design timeâseries storage for realâtime + historical analytics.
⢠Build APIs for dashboards, apps, and integrations.
⢠Support multiâtenant and flexible deployment models.
⢠Manage data aggregation, retention, and efficiency.
Monitoring, Alarms & Operations
⢠Build alarm engines (threshold, rateâofâchange, correlation).
⢠Implement system health monitoring across edge + cloud.
⢠Establish CI/CD for edge and backend.
⢠Design OTA update pipelines with rollback capability.
⢠Build observability (logs, metrics, traces).
Technical Leadership
⢠Collaborate with Controls & Optimization lead on integration.
⢠Work with firmware and frontend teams.
⢠Define backend best practices.
⢠Support customer engagements and technical proposals.
Required Skills
⢠Backend depth: Python, Django/FastAPI, PostgreSQL, Redis, timeâseries DBs, async programming, microservices.
⢠Distributed systems: Edgeâcloud patterns, MQTT/Kafka, synchronization patterns.
⢠Domain knowledge: Building automation, DCIM, SCADA, industrial IoT.
⢠Protocols: Modbus, BACnet, SNMP.
⢠DevOps: Docker, CI/CD, AWS/Azure/Tencent Cloud.
⢠Systems thinking: Realâtime performance, reliability, scalability.
⢠Communication: Customerâfacing skills, documentation.
⢠Languages: English + Mandarin.
Qualifications
⢠5+ years in backend/platform engineering.
⢠Degree in CS/Engineering or equivalent experience.
⢠Experience in IoT, DCIM, building automation, or industrial systems.
⢠Proven ownership of major technical initiatives.
⢠Customerâfacing requirement definition.
⢠Experience with highâavailability or missionâcritical systems preferred.
Ideal Candidate
⢠Domainâaware engineer, pragmatic architect, customerâfacing technologist.
⢠Ownership mindset and strong crossâfunctional collaboration.
⢠Comfortable with ambiguity and fast iteration.
Why Join Gaiamesh
⢠Highâimpact role shaping global AIâdriven building automation.
⢠Collaborative work directly with leadership.
⢠Fast learning across IoT, edge computing, building science.
⢠Share options, flexible work location, 15âday annual leave.
Hiring Process
⢠Nonâtechnical interview with leadership.Short (<4 hr) homework assignment.
⢠Final interview discussing assignment + team meeting.
⢠Offer decision.
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