Solution Architect
2 weeks ago
Experience Required : - 10 - 12 years of overall experience in software/industrial systems, including at least 2 3 years in an architectural or technical leadership role.- Demonstrated experience in designing and deploying IIoT or large-scale industrial data solutions.- Prior exposure to manufacturing, Industry 4.0, or industrial automation use cases is highly desirable.Key Responsibilities : - Design and develop front-end dashboards and analytics modules using React. Define and maintain end-to-end IIoT architecture spanning edge devices, gateways, cloud platforms, and applications.- Design high-throughput, low-latency data pipelines capable of handling large-scale machine and sensor data for ingestion, storage, and analytics.- Select and recommend technology stacks, protocols, databases, cloud services, and middleware aligned with scalability and performance goals.- Ensure system scalability, fault tolerance, high availability, and enterprise-grade cybersecurity across deployments.- Collaborate closely with Machine Integrators and Software Engineers to translate architecture into seamless implementations.- Anticipate future scaling needs and build reusable, modular, and extensible system components.- Evaluate system bottlenecks, latency issues, and performance trade-offs, and propose optimizations to balance cost, speed, and reliability.- Provide technical leadership, define best practices, and maintain clear architectural documentation and standards.- Drive innovation and technology adoption for advanced IIoT use cases such as predictive maintenance, real-time analytics, and digital twins.Required Skills & Qualifications :- 8 - 12 years of experience in software engineering, with at least 35 years in a solution/system architect role.- Proven expertise in designing large-scale IIoT or industrial data platforms with high-volume, real-time data flows.- Strong understanding of industrial communication protocols (OPC-UA, MQTT, Modbus, Profinet, Ethernet/IP).- Hands-on experience with system design across edge, middleware, and cloud platforms.- Proficiency in databases (SQL, NoSQL, Time-series DBs) for large-scale data storage and analytics.- Solid grounding in cloud-native solutions (Azure IoT, AWS IoT, GCP) and distributed systems.- Strong knowledge of DevOps practices (CI/CD pipelines, Docker, Kubernetes).- Ability to design for scalability, high availability, fault tolerance, and cybersecurity in IIoT ecosystems.- Strong analytical, problem-solving, and communication skills with the ability to lead cross-functional teams.Good to Have (Optional) Skills :- Experience with manufacturing analytics, predictive maintenance, or digital twin solutions.- Exposure to AI/ML models applied to industrial and sensor data.- Familiarity with streaming and messaging platforms (Kafka, RabbitMQ, Azure Event Hub).- Knowledge of enterprise OT/IT security standards and compliance frameworks.- Prior experience in performance tuning, cost optimization, and architectural governance.- Scrum fundamentals and familiarity with Agile delivery tools (Jira, Azure DevOps). (ref:hirist.tech)
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