Role Description We are building a hardware-agnostic IoT platform that connects physical sensors, industrial controllers, gateways, and OEM devices to a unified cloud dashboard. We need an experienced IoT Systems & Integration Engineer who can build the protocol adapters, gateway software, and device abstraction layer that makes this possible. This role works directly with a large ecosystem of OEM hardware suppliers across multiple countries. Qualifications - 5–9 years of hands-on IoT systems integration, embedded systems, or industrial automation work — lab or field hardware experience is mandatory; purely software candidates will not be considered - Deep, practical Modbus TCP and RTU experience — you have implemented Modbus masters and slaves, mapped register addresses from datasheets, and debugged communication failures at the byte level ⚑ NON-NEGOTIABLE - Solid MQTT knowledge: broker configuration, topic design, QoS level selection, hardware MQTT client integration and troubleshooting ⚑ NON-NEGOTIABLE - Python for production-quality protocol adapter development — not scripting; you write maintainable, tested integration libraries - Industrial IoT gateway configuration and programming: Advantech, Moxa, Pepperl+Fuchs, or any equivalent embedded Linux gateway platform - OPC-UA hands-on experience: browsing server address spaces, reading node values, implementing client subscriptions - Ability to read hardware datasheets, electrical schematics, and communication protocol specifications independently — this is a day-to-day requirement, not an occasional one ⚑ CRITICAL SKILL - Sensor domain experience across at least 3 of the following: temperature/humidity, power/energy monitoring, GPS/asset tracking, pressure/flow, vibration/accelerometer, air quality - Remote work discipline: rigorous documentation habits, async-first communication, and ability to coordinate physical hardware testing across distributed locations ⚑ REMOTE DISCIPLINE Requirements - Build and maintain the device integration layer: Python and C-based protocol adapters, drivers, and translation modules for sensors, PLCs, energy meters, gateways, and OEM hardware - Implement production-quality integration adapters for: MQTT v3.1/v5.0, Modbus TCP, Modbus RTU, OPC-UA, BACnet/IP, SNMP, CoAP, HTTP REST, and proprietary OEM APIs - Write reusable protocol libraries that abstract hardware communication behind a unified Device Interface — not one-off scripts per device - Build and maintain the Device Compatibility Matrix: all tested hardware logged with protocol version, firmware, known issues, config templates, and onboarding effort estimate - Conduct hardware-in-the-loop testing for every new device: validate telemetry accuracy, command round-trip time, error handling, and reconnection behaviour under interrupted connectivity - Build device profile templates enabling configuration-based onboarding of certified device types — no customer-side code required - Implement data normalisation: raw hardware values (register counts, voltage, proprietary units) converted to standardised engineering-unit JSON telemetry - Build edge gateway software running on embedded Linux gateways and Raspberry Pi-class devices for local protocol translation, data buffering, and pre-processing - Implement local data buffering on edge: no data loss during cloud connectivity gaps — mandatory for industrial and logistics deployments - Develop edge aggregation logic: configurable statistical summaries to reduce uplink bandwidth where cloud cost or connectivity is constrained - Configure and validate edge runtimes: AWS Greengrass, Azure IoT Edge, or Node-RED on target OEM gateway hardware - Implement secure edge-to-cloud communication: mTLS with X.509 certificates, certificate rotation, and revocation handling - Build OTA update clients on edge devices: receive, validate, stage, and apply firmware updates from the platform OTA service - Evaluate new hardware from the supplier ecosystem: produce integration feasibility reports and effort estimates within 48 hours of receiving a new device - Work with OEM technical teams to obtain datasheets, SDK documentation, communication specs, and evaluation units - Write SDK and integration guides for each certified hardware family — enabling customers to self-onboard without raising support tickets - Validate hardware compatibility for customer deployment environments before any commercial commitment is made - Maintain complete documentation for every integration: protocol specs, firmware versions tested, known limitations, configuration templates, troubleshooting steps Benefits - Remote work flexibility - Collaborative team environment - Opportunities for professional development

• Document and demonstrate advancements in accelerated computing & AI applications through targeted trainings, sharing sessions, whitepapers, blogs, and wiki articles • Realize our vision by introducing NVIDIA technology in telecommunication applications for management and operation, and for cloud and edge computing (NFV) • Develop a keen understanding of customer’s goals and needs, deliver high-value solutions, and support technical trials, proof-of-concepts and customer adoption • Lead technical project aspects of complex deployments, including design-in opportunities and responding to RFP/RFI proposals for AI software integration, or edge / cloud / datacenter deployments

• Serve as the primary technical arm for the Partner Sales Go-To-Market (GTM) engine, supporting our sales managers and ecosystem partners. • Design and execute structured enablement plans for assigned partners, delivering workshops, "train-the-trainer" sessions, and technical coaching to close skill gaps and build technical autonomy. • Act as an observability architect and "Swat Team" member for high-value partner-led opportunities, assisting with complex solution design, demonstrations, and Proofs of Value (POVs). • Serve as an "air traffic controller" between internal teams (AEs, SCs, TSMs) and partners to determine the best route to success for every customer opportunity sourced by Partners. • Maintain project-level discipline for all engagements, tracking risks, resource utilization, and status in central systems. • Channel "in the trenches" insights from partners and customers back to internal Product and Practice teams to influence the future roadmap and GTM strategy. • Oversee partner-led project delivery to ensure high-quality outcomes, guiding partners through proven implementation playbooks, serving as a technical escalation point, and monitoring project health against Customer Satisfaction (CSAT) targets.

• Serve as the primary technical advisor for Tech partners, supporting pre-sales, co-sell, and integration initiatives that drive partner-led and embedded opportunities. • Lead technical enablement and evangelism for external and internal stakeholders including partner developers, architects, and product teams. • Define and own the technical integration strategy for Tech and Cloud partners—from initial technical validation (POV/Pilot) through production-level integration. • Work closely with Product and Engineering leadership to develop and launch integrations Collaborate with business development and sales leadership to develop and execute joint roadmaps, solution positioning, and go-to-market activities. • Identify and develop joint use cases and solutions that generate new revenue streams and market opportunities. • Act as a technical thought leader and Saviynt evangelist at industry events, partner summits, technical workshops, and webinars. • Continuously collect feedback from partners and the market to inform Saviynt’s product and alliance strategy.