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Job summary
A leading tech firm in London is looking for an SRE Cloud Infrastructure Engineer to develop and maintain automation for Azure services deployment. This full-time position requires a Master's degree in Computer Science and a minimum of 3 years' experience with Kubernetes on Azure. The ideal candidate will have solid knowledge of monitoring tools and DevOps practices, along with excellent communication skills in English.
Qualifications
Minimum of 3 years of experience with Kubernetes on Azure.
Familiarity with Microsoft Azure WAF and CAF.
Experience in heavily regulated environments.
Responsibilities
Develop and maintain automation for Azure services deployment.
Maintain a service catalog and ensure adherence to best practices.
Provide expertise on Azure offerings and on-call support for infrastructure.
Skills
Provisioning and maintaining Kubernetes on Azure
Automation with Terraform
Experience in DevOps and CI/CD
Monitoring tools (Prometheus, Grafana, etc.)
Programming languages (Python, Bash)
Excellent English communication
Performance tuning and scalability
Education
Master's degree in computer science or software engineering
Tools
Azure Services
Gitlab
Eclipse
Defect Dojo
Job description
Overview
Join to apply for the SRE Cloud Infrastructure Engineer - UK role at CluePoints.
Responsibilities
Develop and maintain automation for Azure services deployment
Maintain a service catalog, and making sure every item included in service catalog follows the best practices in regard to performance, reliability and observability
Ensure the services are being deployed in accordance with the Azure and K8S best practices
Provide an expertise on Azure offering
Provide On-call for Infra related issues
Deploy, maintain and operate any supporting tools (Gitlab, Eclipse, Defect Dojo etc.)
Qualifications
Master's degree in computer science and/or software engineering or equivalent through experience in a related role
Minimum of 3 years of experience of provisioning and maintaining Kubernetes on top of Azure
Familiarity with Microsoft Azure WAF and CAF
Experience in automation with Terraform
Experience in DevOps, CI/CD and GitOps approaches
Experience with monitoring tools, such as Prometheus, Grafana, DataDog, Dynatrace
Experience with performance tuning, scalability and capacity planning on Azure
Experience with SaaS in a B2B heavily regulated environment (telco, banking, pharma) using Kubernetes, Docker
Basic experience in programming languages like Python, Bash
Excellent knowledge of English, both spoken and written