This is a remote position.
We are on a mission to become the world's most trusted supply chain consulting partner, and to create a company where our clients, our people and our partners flourish. We have lofty ambitions in an exciting market, where sustainability, efficiency, AI & technology enablement are driving bold collaborations in pursuit of customer excellence and profitable growth. The foundation is laid, momentum is building, and we now are looking for talented team players who share our values and want to make a meaningful difference and be part of shaping the next chapter. We were born in the UK 8 years ago, and we now have colleagues in 4 markets who are delivering Customer Centric Supply Chain solutions to our clients, bringing together the latest offerings from our various alliance partners like Databricks, Oracle, Salesforce, Litmus and Specright as well as innovative AI & technology solutions that deliver rapid time to value.
WHY InspireXT?
Note: We are an equal opportunities employer, committed to fostering diversity & growth for all. We welcome applications from traditional and unusual backgrounds, and also are happy to discuss any specific accommodations required in the recruitment process to help you shine.
- Customer centricity. The line, the operator and the result come first. A green dashboard that nobody on the floor trusts is a failure, not a delivery.
- Ownership. You will be trusted with real responsibility early. We expect you to take it, and to say so plainly when something is not working.
- Integrity. We tell clients the truth about their data, even when it is inconvenient and especially when it affects the bill.
- Sustainability. We build things clients can keep running, and we transfer capability into their teams rather than holding it inside ours.
Role Description:
You will work directly with shopfloor equipment, connecting heterogeneous machines and transforming raw industrial data into clean, structured data streams that support operational decisions, analytics, and workflow execution.
This is a dynamic, technical role that bridges the gap between OT and IT, combining hands-on implementation with customer interaction across Proof of Concept (PoC) and production environments.
Key Responsibilities:
Technical Implementation & Integration
- Connect and integrate shopfloor machines, PLCs, and sensors across mixed industrial environments using Litmus and related IIoT platforms.
- Configure and manage industrial communication protocols including OPC-UA, Modbus, MQTT, and other relevant standards.
- Perform data mapping, normalization, and tagging to build structured and contextualised industrial data models (asset hierarchies, tag structures).
- Deploy, configure, and maintain Litmus Edge and Litmus Edge Manager across PoC and production environments.
- Prepare and hand off clean, reliable data streams for downstream analytics and enterprise execution layers (e.g., Databricks, Oracle Smart Operations).
- Diagnose and resolve issues related to connectivity, data quality, and system performance in real-time industrial environments.
- Conduct early-stage data quality checks to ensure reliable and usable data pipelines.
Shopfloor Engagement & Delivery
- Work closely with operators, maintenance engineers, and supervisors to understand real-world shopfloor operations and design practical solutions.
- Support condition-based and predictive maintenance use cases from initial data capture through to implementation.
- Travel to client sites to implement, validate, and optimise solutions in real manufacturing environments.
- Document implementations, configurations, and best practices to ensure client teams can sustain solutions post-deployment.
Customer & Business Support
- Support pre-sales activities by validating technical requirements, building demonstrations, and contributing to solution discussions where required.
- Assist in RFI/RFP responses by providing technical inputs and solution configurations.
- Support post-sales implementation and provide technical assistance, including structured handovers and issue resolution.
- Collaborate with partners and internal teams to deliver solution architectures and technical guidance.
Strategy & Continuous Improvement
- Contribute to reusable assets, processes, and knowledge bases (including use of NaturalAI™).
- Provide feedback on product performance, customer requirements, and integration challenges.
- Stay updated on IIoT platforms, manufacturing trends, and relevant technologies.
- Identify opportunities for improving solution delivery, data quality, and shopfloor integration practices.
What Success Looks Like
Initial Months (Understanding & Learning)
- Gain a strong understanding of Connected Shopfloor solutions and OT integration layers.
- Learn internal delivery processes, tools, and ways of working.
- Begin working on real shopfloor connectivity and data integration tasks.
Mid-Stage (Ownership & Delivery)
- Take ownership of assigned OT integration responsibilities.
- Deliver successful data integration outcomes on live engagements.
- Build strong working knowledge of shopfloor environments and customer expectations.
Later Stage (Growth & Contribution)
- Contribute to improving solution offerings based on field experience.
- Identify enhancements in processes, tools, and market approach.
- Support growth of Connected Shopfloor implementations and capabilities.
Requirements
- Bachelor’s degree in Electrical, Electronics, Instrumentation, Mechatronics, Computer Science, or a related field.
- Hands-on exposure to industrial or manufacturing environments.
- Understanding of PLCs, industrial control systems, sensors, and shopfloor operations.
- Familiarity with industrial communication protocols (e.g., OPC-UA, Modbus, MQTT).
- Basic programming or scripting knowledge (Python, JavaScript, SQL, or similar).
- Strong problem-solving skills and ability to work across OT and IT environments.
- Effective communication skills to interact with both technical and non-technical stakeholders.
- Willingness to travel to client sites and work in plant environments.
- Experience with IIoT platforms such as Litmus, Ignition, or Kepware.
- Familiarity with cloud platforms (AWS, Azure, GCP) and data integration pipelines.
- Understanding of Linux systems and networking fundamentals.
- Exposure to containerization or edge deployments (Docker, Kubernetes).
- Understanding of APIs, databases, and automated data workflows.
- Prior customer-facing or implementation experience in industrial environments.
Benefits
- As part of a growing, ambitious, and progressive organization, you will benefit from an industry leading compensation package coupled with additional benefits and eligible to participate in 401K plan.
