[Hiring] DevOps Engineer @Volaris Group

Role Description

We’re hiring a hands-on DevOps Engineer to help build, automate and operate our growing Azure and AWS cloud environments. This is a broad engineering role covering:

• Cloud infrastructure
• Infrastructure as Code
• CI/CD
• Automation
• Observability
• Reliability
• Security
• Cloud FinOps

You’ll work closely with development, infrastructure, security and application teams to make it easier and faster to build, deploy and operate technology in the cloud – while ensuring that what we build is secure, resilient, supportable and cost-effective.

As AI becomes increasingly important across the organisation, you’ll also help us evolve our cloud engineering practices to support AI-enabled applications, more dynamic workloads and a development lifecycle increasingly augmented by AI.

This is not a role where you’ll simply administer existing environments. We want someone who will challenge how things are done, automate repetitive work, introduce better patterns and leave the platform in a better state than they found it.

What You’ll Do

• Cloud & Platform Engineering: Design, build and operate resilient infrastructure across both Azure and AWS, covering compute, storage, databases, networking and managed platform services.
• Infrastructure as Code: Drive automated infrastructure provisioning using modern IaC tools, with a strong preference for modular, repeatable patterns using Terraform.
• CI/CD & Software Delivery: Build and maintain delivery pipelines using platforms such as Azure DevOps and GitHub Actions.
• Containers & Cloud-Native Platforms: Support containerised workloads using technologies such as Docker and managed container platforms.
• Platform Engineering & Developer Experience: Treat the internal platform as a product, creating self-service capabilities and reusable infrastructure modules.
• Observability, Reliability & Operations: Improve availability and visibility across application and infrastructure layers.
• Automation: Identify repetitive infrastructure, deployment and operational activities and replace them with reliable automation.
• Cloud Security: Partner with Security to embed security into cloud platforms and delivery pipelines.
• Cloud FinOps & Cost Optimisation: Embed cost efficiency into everyday engineering decisions.
• Evolving for AI Workloads: Help design cloud infrastructure ready for AI-enabled applications.

Qualifications

• Proven experience building, operating and troubleshooting workloads across both Microsoft Azure and Amazon Web Services.
• Strong expertise in declarative Infrastructure as Code, ideally Terraform.
• Practical experience designing and maintaining continuous integration and delivery pipelines.
• Strong understanding of cloud networking, IAM, RBAC, and secure cloud configuration.
• Experience operating production services, including monitoring, logging, and incident investigation.
• Practical understanding of cloud cost drivers and experience analysing, optimising and forecasting cloud expenditure.
• Comfortable working in cross-functional Agile, Scrum or Kanban environments.
• Strong troubleshooting skills across applications, infrastructure, networking and cloud services.

Nice to Have

• Azure and/or AWS certifications.
• FinOps Foundation certification or significant practical FinOps experience.
• Kubernetes certification or significant Kubernetes experience.
• Experience building internal developer platforms or self-service cloud capabilities.
• Experience with Azure Landing Zones or AWS Control Tower.
• Experience supporting AI or machine-learning workloads.
• Experience supporting GPU or other high-performance cloud workloads.
• Experience working in large, distributed or multi-business environments.

Worker Type

Regular

Number of Openings Available

1