DevOps & IoT Platform Engineer

Watson-Marlow Fluid Technology Solutions; Redruth; Hybrid; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Salary

Flexible working arrangements

Holiday allowance

Volunteering leave

Inclusion Plan

Job summary

Watson-Marlow Fluid Technology Solutions, part of Spirax Group, is seeking a DevOps & IoT Platform Engineer in Redruth, Cornwall. You will support the build, operation, automation and reliability of the digital infrastructure underpinning connected products and industrial IoT capabilities.

Initially focus on DevOps, cloud operations, IoT data flows, deployment automation and environment management, with a path into MLOps and ML platform engineering as capability matures.

Qualifications

• Bachelor’s or Master’s degree in CS, Data Eng, or related field.
• Experience in DevOps, platform engineering, or cloud operations.
• Familiarity with IoT data platforms and data pipelines.

Responsibilities

• Build, maintain and improve automation for cloud and IoT platform services.
• Develop and maintain CI/CD pipelines and deployment workflows.
• Maintain Azure development, test, QA and production environments.
• Contribute to secure platform configuration and monitoring.
• Monitor platform health and reliability across environments.
• Support data flows from devices to cloud and analytics.

Skills

DevOps

Platform engineering

CI/CD pipelines

Azure cloud

IoT data platforms

Scripting

Education

Bachelor/Masters

Tools

GitHub

Azure DevOps

Containers

APIs

Job description

Job Title: DevOps & IoT Platform Engineer

Location: Redruth, Cornwall UK

Location Type: Hybrid (2/3)

Website: https://www.wmfts.com/en/

Group: https://www.spiraxgroup.com/

Watson-Marlow Fluid Technology Solutions is part of Spirax Group, a FTSE100 and FTSE4Good multi-national industrial engineering Group with expertise in the control and management of steam, electric thermal solutions, peristaltic pumping and associated fluid technologies.

When you join us, you will be integrated into a cooperative and encouraging team, participate in challenging yet critical work, and experience ongoing growth opportunities to help you achieve your full potential. Visit our website to learn more.

Job Summary

The DevOps & IoT Platform Engineer is responsible for supporting the build, operation, automation, and reliability of the digital infrastructure that underpins Watson-Marlow’s connected products and industrial IoT capabilities.

The role will initially focus on DevOps, cloud platform operations, IoT data flows, deployment automation, environment management, monitoring, and secure integration between connected devices, cloud services, data platforms, and engineering teams.

As the capability matures, the role will provide a clear development path into MLOps and ML platform engineering, supporting model deployment, model lifecycle controls, ML pipeline automation, and governed promotion of machine learning solutions from development into production.

Key Responsibilities

DevOps, cloud operations and platform reliability

• Build, maintain and improve automation for cloud and IoT platform services that support connected products.
• Develop and maintain CI/CD pipelines, deployment workflows, environment controls and repeatable release processes using tools such as GitHub, Azure DevOps and related platform tooling.
• Help maintain Azure-based development, test, QA and production environments used by digital, IoT, data and ML platforms.
• Contribute to secure platform configuration, access control, secrets management, monitoring and operational governance.
• Monitor platform health, investigate operational issues and contribute to improving reliability, supportability and repeatability across digital product environments.

IoT data flows, data pipelines and operational support

• Support reliable device-to-cloud data flows from connected products, gateways, cloud services and downstream data platforms.
• Work with telemetry, time-series and industrial IoT data sources, helping to ensure data is available, structured and usable for engineering, product and analytics teams.
• Support operational data pipelines that provide reliable data for engineering analytics, product insights, connected services and machine learning use cases.
• Assist with troubleshooting data ingestion, connectivity, data quality and integration issues across the connected-products ecosystem.
• Document deployment steps, support processes and platform knowledge to improve maintainability and reduce reliance on manual intervention.

Collaboration, security and controlled platform change

• Work with IT, cyber security, software, firmware and supplier teams to support service availability, incident resolution and controlled platform change.
• Contribute to data validation, monitoring, transformation and handover between operational platforms and analytical environments.
• Proactively identify opportunities to simplify, automate and strengthen digital platform delivery.

Growth into MLOps and ML platform engineering

• Develop capability in MLOps practices such as experiment tracking, model packaging, model registry, model promotion and governed deployment workflows.
• Support AI developers with repeatable workflows that move ML code, configuration and artefacts through controlled development, test, QA and production stages.
• Contribute to the longer-term development of the ML platform, including quality gates, lifecycle controls, operational monitoring and supportability.

Skills/Experience

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, Software Engineering, or a related discipline (or equivalent experience)

Skills & Experience

Essential

• Experience in DevOps, platform engineering, cloud operations, software deployment, or infrastructure automation
• Experience with CI/CD pipelines, source control, branching strategies, pull requests, and release workflows using GitHub, Azure DevOps, or similar tools
• Exposure to Azure cloud services and operational practices, including monitoring, access control, environment management, and secure configuration
• Experience working with IoT, telemetry, time-series, connected-product, or industrial data platforms
• Proficiency in scripting or automation using Python, PowerShell, Bash, or equivalent tooling
• Understanding of data pipelines, APIs, integration patterns, and operational troubleshooting
• Strong problem-solving skills with the ability to work across software, data, cloud, and connected-product teams

Desirable

• Experience with Azure IoT services, Azure Data Explorer, Databricks, containerisation, APIs, or cloud-native application deployment
• Experience with infrastructure as code, automated testing, observability, logging, or platform monitoring
• Awareness of MLOps concepts such as MLflow, model registry, model promotion, model monitoring, and governed deployment pipelines
• Exposure to machine learning workflows or data science environments, with an interest in developing into ML platform engineering
• Experience working with industrial equipment, embedded systems, firmware teams, or device-to-cloud architectures

Benefits

At Watson-Marlow, we believe in taking care of our colleagues. We offer a generous benefits package, including:

• A competitive salary
• Flexible working arrangements
• A generous holiday allowance
• Three days’ paid volunteering leave
• Additional support and benefits through our Everyone is Included Group Inclusion Plan

Everyone is Included at Spirax Group

We are passionate about creating inclusive and equitable working cultures where everyone can be themselves and achieve their full potential. For us, that means supportive teams and strong relationships where everyone’s contribution is valued - across social and cultural backgrounds, ethnicities, ages, genders, gender identities, abilities, neurodiversity, sexual orientation, religious beliefs, and everything else that makes us human and unique.

We want everyone to be able to make their difference here, so we will always consider requests for flexible working.

We know that everyone needs some extra help from time to time too, so we have introduced a range of additional benefits through our Group Inclusion Commitments. These include

• Gender-neutral parental leave
• 15 days of extra paid caregiver leave
• Paid time off and support for anyone experiencing pregnancy loss or domestic abuse
• Menopause-friendly workplace principles and more

Learn more at spiraxgroup.com/inclusion.

We are also a Disability Confident Committed Employer. If you would like to apply using this scheme, please select this option in our application form.

We are an equal opportunity employer committed to fostering an inclusive and diverse workplace. We encourage candidates from all backgrounds to apply.

If you require accommodations during the application process, please let us know.

Company Overview

At Watson-Marlow Fluid Technology Solutions, part of Spirax Group, we are driven by innovation and are dedicated to creating an inclusive workplace where everyone is empowered to make a difference. As a world leader in manufacturing peristaltic pumps and associated fluid path technologies for the life sciences and process industries, we offer a wide range of products, including tubing, specialised filling systems and products for single-use applications.

Our shared Purpose is to create sustainable value for all our stakeholders as we engineer a more efficient, safer and sustainable world. Our technologies play an essential role in critical industrial processes and industrial equipment across industries as diverse as Food & Beverage, Pharmaceutical & Biotechnology, Power Generation, Semiconductors and Healthcare. With customers in 116 countries, we provide the solutions that sit behind the production of many items used in daily life, from baked beans to mobile phones!

Our inclusive culture and Values, unites us, guides our decisions and inspires us everywhere that we operate. We support our colleagues to make their difference for each other as well as customers, communities, suppliers, our planet and shareholders by creating a truly equitable working environment where everyone feels included.