Lead Infrastructure Engineers help clients build and evolve systems that client organizations use to deliver and run software. They are comfortable working within teams of people with diverse roles and levels of experience to find solutions that meet the needs of the organization. They combine technical expertise and understanding with consideration of different situational needs. They champion technical quality and effective ways of working as a means to better outcomes for clients, rather than an end in themselves. They help clients to understand agile ways of working and DevOps as a mindset for collaboration.
Technical Skills
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You have 8+ years of experience as a DevOps engineer including skills Azure, IaC, terroaform, Kubernetes, CI/CD, AI Familarity (RAG, AI Agents)
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You can lead the collaborative design of enterprise and/or web-scale hosting platforms and can administer application servers, web servers and databases.
- You have a deep understanding of cloud and virtualization platforms, infrastructure automation and application hosting technologies.
- You have experience working with software delivery teams and understand DevOps philosophies, Agile methods, Infrastructure as Code and how to apply them to your work.
- You regularly apply DevOps philosophy, Agile methods, Infrastructure as Code to your work and lead infrastructure and operations with these approaches.
- You have a history of working with server virtualisation, at least one IaaS cloud platform, and two or more application runtime platforms including physical servers, virtual servers, container clusters, serverless and databases.
- You can write scripts using at least one scripting language and are comfortable with building one or more of: Linux servers, Windows servers or container clusters, and/or Windows servers systems.
- Experience with continuous integration and continuous delivery tools with different tech stacks, web or mobile.
- You’ve previously worked with monitoring systems for availability, performance or security, stress and performance testing with observability patterns: Distributed Tracing/OpenTracing, Log Aggregation, Audit Logging, Exception Tracking, Health Check API, Application MetricS, Self-Healing/Multi-Cloud.
- You have an unders
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