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DevOps Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 10%

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Logo of Volaris Group

Volaris Group

10,000+ employees

Founded 2005

🤝 B2B

☁️ SaaS

💳 Fintech

B2B • SaaS • Fintech

Volaris Group is a company focused on acquiring and developing software businesses. They emphasize a long-term commitment to the companies they acquire, providing a supportive environment for local leaders while ensuring they maintain their unique cultures and relationships with customers. With a successful track record of hundreds of acquisitions, Volaris has not sold any of its portfolio companies, showcasing its dedication to fostering growth and innovation within the software industry.

📋 Description

• Design, build and operate resilient infrastructure across Azure and AWS • Build reusable cloud infrastructure and deployment patterns • Help development teams select cloud services based on performance, resilience, security, operational complexity and cost • Automate infrastructure provisioning using Terraform and native cloud templates • Implement version control, automated validation, deployment controls and policy guardrails • Build and maintain CI/CD pipelines using Azure DevOps and GitHub Actions • Automate build, testing, security scanning, artefact management and deployment activities • Support containerised workloads using Docker, AKS, EKS, ECS and Azure Container Apps • Create self-service platform capabilities, reusable infrastructure modules, standard hosting patterns, secrets and configuration management, CI/CD pipelines and golden paths • Improve monitoring, centralised logging, alerting, availability and visibility • Support incident investigation, root-cause analysis, backup and recovery, resilience and disaster-recovery planning • Automate repetitive infrastructure, deployment and operational activities • Embed cloud security through IAM, RBAC, workload identities, secrets and certificate management, network segmentation, vulnerability management, logging and auditability • Improve cloud spend visibility, ownership, tagging, budgets, anomaly detection, resource utilisation, rightsizing, storage optimisation and forecasting • Help design cloud infrastructure for AI-enabled applications, dynamic workloads, event-driven architectures and high-performance compute • Collaborate with development, infrastructure, security, application and business teams to improve cloud delivery and operations

🎯 Requirements

• Proven experience building, operating and troubleshooting workloads across Microsoft Azure and Amazon Web Services • Strong expertise in declarative Infrastructure as Code, ideally Terraform • Practical scripting skills using Python, PowerShell, Bash or similar technologies • Experience designing and maintaining CI/CD pipelines using Azure DevOps or GitHub Actions • Strong Git and modern source-control practices • Strong understanding of cloud networking, including VNets/VPCs, routing, firewalls, load balancing, DNS and private connectivity • Knowledge of IAM, RBAC, workload identities and secure cloud configuration • Experience operating production services, including monitoring, logging, incident investigation, resilience, backup and recovery • Practical understanding of cloud cost drivers and experience analysing, optimising and forecasting cloud expenditure • Comfortable working in Agile, Scrum or Kanban environments • Strong troubleshooting skills across applications, infrastructure, networking and cloud services • Good communication skills and ability to work effectively with developers, security engineers, infrastructure teams, architects and business stakeholders • Azure and/or AWS certifications are nice to have • FinOps Foundation certification or significant practical FinOps experience is nice to have • Kubernetes certification or significant Kubernetes experience is nice to have • Experience building internal developer platforms or self-service cloud capabilities is nice to have • Experience with Azure Landing Zones or AWS Control Tower is nice to have • Experience supporting AI or machine-learning workloads is nice to have • Experience supporting GPU or other high-performance cloud workloads is nice to have • Experience working in large, distributed or multi-business environments is nice to have

🏖️ Benefits

• Full-time regular employment

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