Senior Python DevOps Engineer on Azure Cloud Platform
IQ Staffing
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Job summary
IQ Staffing is seeking a Python DevOps Engineer to join a large financial organisation. You will help build, automate and improve a cloud-first analytics platform running on Microsoft Azure, serving 1,500+ users across data, analytics and ML teams.
You will work in a multidisciplinary team to create reliable, scalable, and maintainable solutions that enable users to develop and run advanced analytics and ML workloads.
Qualifications
- 5+ years in DevOps, platform engineering or similar engineering role.
- Strong Python 3.x skills with clean, modular, testable code.
- Experience with FastAPI and RESTful APIs.
- Experience with pytest, mocking and API contract testing.
- Strong knowledge of Microsoft Azure.
- Experience with services like Entra ID, Microsoft Graph API, Storage Accounts and Cosmos DB.
- Experience with cloud-native architectures and scalable Azure deployments.
- Hands-on experience with Docker.
- Experience with CI/CD pipelines, preferably Azure DevOps.
- Familiarity with Terraform or other Infrastructure as Code tools.
Responsibilities
- Develop clean, maintainable Python scripts and applications.
- Automate workflows and integrations across different data sources.
- Translate stakeholder needs into technical solutions.
- Improve platform stability, reliability and operational efficiency.
- Monitor performance and resolve technical issues.
- Build and maintain APIs and integrations.
- Deploy and support cloud-native solutions in Azure.
- Contribute to CI/CD, Infrastructure as Code and platform automation.
- Keep up with new Azure technologies and continuously improve the platform.
Skills
Tools
Job description
IQ Staffing is seeking a Python DevOps Engineer to join a large financial organisation. You will help build, automate and improve a cloud-first analytics platform running on Microsoft Azure, serving 1,500+ users across data, analytics and ML teams.
You will work in a multidisciplinary team to create reliable, scalable, and maintainable solutions that enable users to develop and run advanced analytics and ML workloads.
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