DevOps Engineer
Job description
Original text imported from Reed
We’re partnering with a fast-growing, award-winning, technically-led business that is transforming how organisations across the UK manage their utility services. With a strong focus on sustainability, innovation, and simplifying the customer experience, this company offers a genuinely modern, supportive, and forward-thinking environment, where the Technology team plays a key role in driving growth.
They are now looking to hire a DevOps Engineer (experienced, "mid"-level) to join their Platform Engineering team at an exciting stage of growth, as they scale a key internal product beyond MVP. This is a fantastic opportunity for an engineer with solid foundations in DevOps who is keen to further develop their skills while working alongside experienced professionals in a collaborative setting.
Salary: £55,000 – £63,000 + extensive benefits package + bonus
Working Pattern: Hybrid. Flexible split between office and home. Based from Northeast offices, with suitable locations including Durham, Hartlepool, Newcastle, Middlesbrough, Peterlee, Sunderland and surrounding areas.
The Role
This is a hands-on position where you’ll contribute to the design, build, and maintenance of secure, scalable, and cost-effective cloud infrastructure. You’ll work closely with a multidisciplinary Agile team, playing an active role in modern DevOps practices and tooling.
Key Responsibilities
- Collaborate on the design of secure, scalable, and highly available, cost-optimised cloud infrastructure
- Implement technologies using Infrastructure-as-Code
- Monitor and manage systems for availability and performance
- Support Agile delivery through Scrum and Kanban, contributing to team rituals and processes
What We’re Looking For
- Developing and deploying via Infrastructure-as-Code, with proficiency in Terraform, YAML and ARM templates
- Creation, monitoring and management of cloud artefacts in Microsoft Azure, using the Cloud Adoption Framework (CAF) via Azure DevOps
- Ability to build and manage services deployed into Kubernetes, including container configuration and Helm charts
Desirable (but not essential)
- Using AI to enhance productivity, such as code generation or coding assistance
- Code written in C#/.NET
- Experience with scripting tools such as PowerShell, Bash, Python, or Bicep
- Understanding of observability platforms
If you’re looking to progress your DevOps career within a collaborative, forward-thinking engineering team, this is an excellent opportunity to make a real impact.
Key skills
AI-extracted from the job advert
Application advice
5 AI-generated recommendations to maximise your chances.
⭐ Highlight your Terraform and Infrastructure-as-Code experience prominently as these are core requirements for the Platform Engineering team
📊 Quantify your cloud infrastructure achievements: "Deployed 15 microservices to Azure Kubernetes, reducing deployment time by 40%"
🌐 Emphasise your Azure DevOps and Cloud Adoption Framework knowledge as they specifically mention using CAF methodology
🎯 Showcase any Kubernetes and Helm charts experience with specific examples of container orchestration projects
🤝 Demonstrate your Agile experience with Scrum and Kanban, mentioning specific team collaboration achievements
Suggested CV bullets
3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.
Add these 3 bullets under your most recent experience:
- •Implemented Infrastructure-as-Code using Terraform for 12 Azure environments, reducing deployment time from 4 hours to 45 minutes
- •Managed Kubernetes clusters hosting 25+ microservices with Helm charts, achieving 99.8% uptime across production workloads
- •Collaborated with 8-person Agile development team using Azure DevOps, delivering 15 sprint releases with zero rollback incidents
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Dear Hiring Manager,
I am writing to apply for the DevOps Engineer position at hireful. Your focus on transforming utility services through innovative cloud infrastructure aligns perfectly with my experience in Azure DevOps and Terraform-based Infrastructure-as-Code implementations.
My background in designing scalable Kubernetes clusters and implementing Azure Cloud Adoption Framework methodologies would enable me to contribute immediately to your Platform Engineering team's growth objectives.
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Interview questions
10 questions generated from this advert.
Technical
- ›How would you design a scalable Kubernetes cluster in Azure using Infrastructure-as-Code?
- ›Explain the difference between ARM templates and Terraform for Azure resource provisioning
- ›How do you implement monitoring and observability in a cloud-native environment?
- ›Describe your approach to managing Helm charts for microservices deployment
- ›What strategies would you use to optimise cloud infrastructure costs in Azure?
Behavioural
- ›Tell me about a time when you had to troubleshoot a critical infrastructure issue under pressure
- ›Describe a situation where you had to collaborate with developers to improve deployment processes
- ›How do you stay current with rapidly evolving DevOps technologies and practices?
- ›Give an example of when you had to balance security requirements with development team needs
- ›Tell me about a time when you implemented a new tool or process that improved team efficiency
STAR answer examples
Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.
Tell me about a time when you had to troubleshoot a critical infrastructure issue under pressure
Describe a situation where you had to collaborate with developers to improve deployment processes