IoT Systems Engineer

Leeds
3 days ago
Create job alert

Our clint are an innovative engineering business developing high-performance sensing solutions for extreme industrial environments. As the company expands its connected monitoring platforms, they’re looking to hire an Industrial IoT Systems Engineer to support the deployment and operation of secure, scalable IoT systems.

This is a hands-on role where you’ll work closely with engineers and customers, helping bring real-world sensor data into cloud platforms and ensuring systems run reliably in live industrial environments. It’s well suited to someone who enjoys practical problem-solving and taking ownership of deployments.

IoT Systems Engineer - The Role & Responsibilities – DevOps / IoT / Electronics / Software / IT / Systems Engineer / Infrastructure Engineer / Platform Engineer

In this role, you’ll focus on deploying, integrating, and supporting IoT systems used for industrial monitoring. Key responsibilities include:

Building and maintaining Node-RED flows to ingest, process, and route IoT data
Supporting the connection and onboarding of IoT devices, including LoRaWAN gateways
Managing secure device-to-cloud data flows using HTTP, MQTT, APIs, and industrial protocols
Supporting cloud and on-prem environments using Linux, Docker, and basic networking/firewall rules
Assisting with system commissioning, troubleshooting, and customer deployments
Maintaining dashboards and workflows within the IoT platform
Producing clear documentation and runbooks to support scaling systems over time

IoT Systems Engineer - Skills & Experience - DevOps / IoT / Electronics / Software / IT / Systems Engineer / Infrastructure Engineer / Platform Engineer

We’re looking for someone practical and technically capable, rather than a “tick every box” candidate. Ideally, you’ll have experience with:

Node-RED and data flow development
IoT systems or connected devices in production environments
LoRaWAN devices or gateways (ChirpStack or similar is beneficial)
Linux-based systems and containerised environments (Docker)
Integrating data using MQTT / HTTP / JSON
Working with or exposure to industrial or operational technology environments
Nice to have, but not essential:

Industrial protocols (Modbus, OPC-UA)
Cloud platforms or basic network security configuration
Dashboarding or visualisation tools
Apply now or get in touch for a confidential conversation to learn more about the role and the wider engineering roadmap.

IoT Systems Engineer / DevOps / IoT / Electronics / Software / IT / Systems Engineer / Infrastructure Engineer / Platform Engineer / Cloud Engineer

Related Jobs

View all jobs

Full Stack Developer – .NET / React / Azure

Senior Developer

Senior Product Owner

GIS developer

Full Stack Developer

Lead Data & Platform Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write a Cloud Computing Job Ad That Attracts the Right People

Cloud computing underpins much of the UK’s digital economy. From startups and scale-ups to enterprise organisations and the public sector, cloud platforms enable everything from data analytics and AI to cybersecurity, DevOps and digital services. Yet despite high demand for cloud skills, many employers struggle to attract the right candidates. Cloud job adverts are often flooded with unsuitable applications, while experienced cloud engineers, architects and platform specialists quietly pass them by. In most cases, the problem is not the shortage of cloud talent — it is the quality and clarity of the job advert. Cloud professionals are pragmatic, technically experienced and highly selective. A poorly written job ad signals confusion, unrealistic expectations or a lack of cloud maturity. A well-written one signals credibility, good engineering culture and long-term thinking. This guide explains how to write a cloud computing job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Cloud Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for cloud computing jobs in the UK you might have noticed something frustrating: job descriptions rarely ask for “maths” directly yet interviews often drift into capacity, performance, reliability, cost or security trade-offs that are maths in practice. The good news is you do not need degree-level theory to be job-ready. For most roles like Cloud Engineer, DevOps Engineer, Platform Engineer, SRE, Cloud Architect, FinOps Analyst or Cloud Security Engineer you keep coming back to a small set of practical skills: Units, rates & back-of-the-envelope estimation (requests per second, throughput, latency, storage growth) Statistics for reliability & observability (percentiles, error rates, SLOs, error budgets) Capacity planning & queueing intuition (utilisation, saturation, Little’s Law) Cost modelling & optimisation (right-sizing, break-even thinking, cost per transaction) Trade-off reasoning under constraints (performance vs cost vs reliability) This guide explains exactly what to learn plus a 6-week plan & portfolio projects you can publish to prove it.

Neurodiversity in Cloud Computing Careers: Turning Different Thinking into a Superpower

Cloud computing sits at the heart of modern tech. Almost every digital product runs on someone’s cloud platform – from banking apps & streaming services to AI tools & online shops. Behind those platforms are teams of cloud engineers, architects, SREs, security specialists & more. These roles demand problem-solvers who can think in systems, spot patterns, stay calm under pressure & imagine better ways to build & run infrastructure. That makes cloud computing a natural fit for many neurodivergent people – including those with ADHD, autism & dyslexia. If you are neurodivergent & considering a cloud career, you might have heard messages like “you’re too distracted for engineering”, “too literal for stakeholder work” or “too disorganised for operations”. In reality, many traits that come with ADHD, autism & dyslexia are exactly what cloud teams need. This guide is written for cloud computing job seekers in the UK. We will cover: What neurodiversity means in a cloud context How ADHD, autism & dyslexia strengths map to cloud roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you should have a clearer sense of where you might thrive in cloud computing – & how to turn “different thinking” into a professional superpower.