Devops Engineer (Data Analytics)

Harvey Nash UK • Remote (Reading, Berkshire) • 11h ago

Harvey Nash are now inviting candidates to apply for the role of Data and Analytics Senior Development Operations Engineer x 2. Fully remote roles paying up to £600 a day - inside of IR35.

We are looking for an experienced Dev Ops engineer to support our clients Group Data & Analytics platform which is currently deployed in Azure. In this role you will be responsible for ensuring the reliability, security, and scalability of the existing cloud analytics platform, focusing on automation for deployment of infrastructure as code via continuous integration and continuous delivery/deployment (CI/CD) pipelines.

You will also provide operational support to users of the Data & Analytics platform covering administration of services, access management and any additional enhancements and configuration required.

Experience:

Extensive experience of deploying Azure and ideally AWS cloud resources and be fully conversant with agile and DevOps development methodology
Extensive experience in using Terraform to deploy cloud resources as infrastructure as code.
Excellent understanding of CI/CD principles and experience with related tools (e.g. Azure DevOps, GitHub Actions).
Strong knowledge of scripting languages such as PowerShell, Python and Azure CLI and proven experience with automation runbooks, VM maintenance scripts and SQL.
Strong understanding of cloud access control and governance such as RBAC and IAM.
Strong knowledge on Cloud Networking (Azure) such as private endpoints, Firewalls, NSGs, NAT gateways and route tables.
Good knowledge in Microsoft Entra ID such as managing App registrations, Enterprise Apps, AD groups, managed identities and Privileged Identity Management.
Proven experience in IaaS such as virtual machines - both Windows and Linux. Familiarity with server patching and maintenance.
Strong understanding of security best practices within Azure and ideally AWS.
Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS.

Please apply by submitting your CV.

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