DevOps Engineer

Everflow Limited
Peterlee, UK
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

.NET Framework Agile Methodology Artificial Intelligence Amazon Web Services Microsoft Azure Bash Shell Ubuntu (Operating System) Cloud Computing Cloud Computing Security Code Generation Code Review Data Stores
+16 more
Linux DevOps Python (Programming Language) Windows PowerShell Software Engineering YAML Cloud Platform System Kubernetes Helm Charts Kubernetes Infrastructure Automation Frameworks Bicep Cloud Migration Terraform Network Server Software Version Control Devsecops

Job description

This is where you come in.

As a DevOps Engineer in our Platform Team, you’ll be hands-on with the cloud platform and pipelines our delivery teams build and ship software on. Reporting to one of our Engineering leads, you’ll work alongside colleagues in a multi-disciplined team, take real ownership of your work, and need only light supervision to run with it.

This is an AI-first role. As Everflow moves to an AI-executed engineering model, you’ll use the AI code-generation toolchain every day, and you’ll help keep the deployment pipeline that takes reviewed work to production fast and dependable. We’ll expect you to be comfortable reading, reviewing and correcting AI-generated infrastructure code and your judgement about what good looks like matters.

In practice you’ll work across a mixed estate - greenfield AI workloads alongside established services we’re actively modernising, including .NET Framework - taking an automation-first and AI-first approach to delivery and designing efficient, secure cloud solutions with security considered at every layer. We’re a Microsoft house with a focus on staying cloud-agnostic as our technology and tooling evolve.

You’ll be based at our Peterlee (SR8 2RU) office two days a week under our hybrid working pattern, with support for occasional planned out-of-hours work, such as releases and other changes best made outside business hours.

Candidates should expect a technical exercise as part of the selection process, which helps us understand how you think.

What You’ll Do

You’ll be hands-on, challenged, and trusted to make a real difference. You’ll:

  • Build and maintain secure, scalable, highly available and cost-optimised cloud infrastructure, collaborating on its design with our architects and the wider Platform Team.
  • Use our AI code-generation toolchain day to day, and review what it produces as carefully as you’d review your own work, automating throughput wherever possible.
  • Contribute to our prompt libraries, treating prompts and AI configuration as versioned, tested code rather than throwaway text. You will help to keep our platform reliable and predictable.
  • Implement and maintain infrastructure as code, as well as our CI/CD pipelines, principally in Terraform, keeping our modules and patterns reusable rather than one-off.
  • Build and manage services deployed into Kubernetes on Azure, including container configuration and the management of Helm charts.
  • Monitor and manage our systems for availability and performance and help improve observability across the estate.
  • Keep an eye on what we spend, applying FinOps practice to cloud resources and to AI toolchain alike.
  • Work with our Security Engineers to build security into what you deploy rather than bolt it on afterwards.
  • Support the team in the application of Agile through Scrum and Kanban, adopting the usual rituals and our end-to-end processes.

Requirements

We’re less about ticking boxes and more about finding the right person - a team player and self-starter who is prepared to contribute and help enrich how we do things. You’ll probably possess, * Solid experience developing, deploying and monitoring cloud infrastructure, with the judgement to analyse and diagnose problems under minimal supervision.

  • Proficiency in infrastructure as code - Terraform.
  • Hands-on experience creating, monitoring and managing cloud resources in Microsoft Azure via Azure DevOps, working to the Cloud Adoption Framework (CAF).
  • Ability to build and manage services deployed into Kubernetes, including the role of container configuration and the management of Helm charts.
  • Experience using AI to do real work - code generation, coding assistance or infrastructure automation - together with the judgement to review its output rather than take it at face value.
  • Strong scripting and automation skills (PowerShell, Bash, Python, YAML), plus a readiness to keep developing that skillset.
  • Enough familiarity with software development practice - source control, branching, code review and testing - to work as a peer to the software engineers you support. An understanding of code written in C# and .NET is an advantage.
  • Working awareness of cloud security and DevSecOps practice, and the habit of considering security as you build.
  • Clear communication and a genuinely collaborative style, with a can-do approach and an appetite for continual improvement.

Desirable

  • Familiarity with other infrastructure-as-code tools such as Bicep.
  • Cost optimisation of deployable resources following FinOps practices, including an appreciation of AI compute as a material cost class in its own right.
  • Exposure to prompt-framework-as-code: prompts and AI configuration treated as versioned, tested and governed libraries.
  • An understanding of observability platforms and of building alerting that people act on.
  • Familiarity with Linux-based operating systems (Ubuntu) for build servers and containerised deployment.
  • Experience of running AI or ML workloads on Azure, such as AKS-hosted models or vector data stores.
  • Familiarity with Azure B2C or federated account security.
  • Business continuity principles, and familiarity with Amazon Web Services (AWS) in that context.

Benefits & conditions

We take rewarding our people seriously (and not just with biscuits). You’ll get a competitive salary with annual reviews, a generous pension of up to 8% employer contribution, and life insurance worth up to three times your salary.

You’ll enjoy hybrid working (up to three days from home), the option to buy or sell up to five days of annual leave, an extra celebration holiday, and enhanced parental and sickness benefits.

There’s also free breakfast, free parking, an on-site gym at our Peterlee HQ, access to an EV company car scheme, and a cycle-to-work scheme. For your wellbeing, we offer 24/7 counselling, virtual GP access, and a healthcare cash plan covering dental, physio, and optical care because looking after people shouldn’t stop at work.

Equal Opportunities

Everflow is proud to be an equal opportunities employer. We’re committed to creating an inclusive, diverse workplace where everyone feels respected, valued, and able to be themselves. Through our Equity, Diversity, Inclusion and Belonging (EDIB) policy, we ensure fair access to opportunities for all, regardless of background.

About the company

At Everflow, we’re on a mission to reshape the utility industry.

We’re an award-winning, fast-growing business delivering smarter, greener water, waste and connectivity solutions to businesses across the UK and we’re proud of the impact we make every day.

Our quest is simple but powerful: bringing services together to make lives simple. By saving our customers time, money, and energy, we give them the headspace to focus on what really matters growing their businesses and making an impact.

And while free coffee and ping pong are nice (very nice, actually), they’re not the reason people stay. Our culture is. We value authenticity over ego, curiosity over comfort, and progress over perfection. We trust our people, encourage bold ideas, and believe success should never come at the cost of wellbeing or belonging.

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