Digital Platform Engineer

Key Objectives/Deliverables

IoT Platform Excellence: 

• Develop and maintain enterprise-grade IoT ecosystems ensuring uptime, and scalable evolution to support manufacturing growth 

• Design and implement comprehensive IoT solutions including edge device management, network topology optimization, real-time diagnostics, and zero-trust security frameworks 

• Deployment of end-to-end mission-critical IoT platforms from proof-of-concept through production validation and ongoing lifecycle management

Cloud-Native Application Development: 

• Design, develop, and deploy containerized applications on OpenShift platform using microservices architecture and GitOps methodologies

• Establish and enforce containerization best practices, automated CI/CD pipelines, and infrastructure-as-code principles for rapid, reliable deployments 

• Partner with cross-functional development teams to enable seamless application integration, automated testing, and continuous delivery workflows

Data Streaming & Integration: 

• Implement high-throughput data ingestion pipelines using Apache Kafka, MQTT brokers, and Azure Event Hub to process manufacturing telemetry at scale 

• Develop real-time analytics solutions that transform OT data streams into actionable insights for production optimization and predictive maintenance 

• Ensure seamless OT/IT convergence through secure, compliant data bridges that maintain manufacturing system integrity

Basic Requirements

Manufacturing & Compliance Expertise: 

• 5+ year manufacturing experience with deep knowledge of validation protocols, and manufacturing execution systems 

• Proven track record development & implementing IoT solutions in regulated environments with understanding data integrity, and audit trail requirements 

Technical Proficiency: 

• Advanced understanding of MQTT protocol, Sparkplug B specification, and publish-subscribe messaging patterns for industrial IoT communications 

• Proficiency in Python, C#, or Java with Azure IoT SDKs and experience building scalable, maintainable IoT applications

Platform & Infrastructure Skills: 

• Hands-on experience with OpenShift/Kubernetes including container orchestration, service mesh, and cluster management 

• Strong background in microservices architecture, API design, and event-driven systems with focus on reliability and observability 

• Experience with Apache Kafka ecosystem, stream processing frameworks, and real-time data pipeline optimization for high-volume manufacturing data

Integration & Security: 

• Demonstrated experience bridging OT/IT systems while maintaining network segmentation and industrial cybersecurity best practices 

• Knowledge of industrial protocols (OPC-UA, Modbus, Ethernet/IP) and their integration with cloud platforms 

• Understanding of DevSecOps practices, infrastructure automation, and monitoring solutions for production environments

Education Requirements:

BE in Computer Science/IT, or Engineering (or equivalent work experience)