Tech S and T-Tech Cloud dev-Senior Cloud Platform Engineer-GDSF02
Job description
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Job Title: Senior Python Cloud Platform & Full-Stack Engineer
Job Summary:
We are seeking a Senior Python Cloud Platform & Full-Stack Engineer with up to 8 years of experience in cloud engineering, automation, and application development. The ideal candidate will possess strong expertise in Python development, cloud platforms (Azure/AWS/GCP), infrastructure automation, API development, and modern frontend technologies. This role focuses on building scalable cloud-native solutions, developing automation frameworks, integrating infrastructure platforms, and creating engineering tools and dashboards that improve operational efficiency.
Updated Key Qualifications (Python as the primary skill)
- Up to 8 years of hands-on experience in Python development, cloud engineering, automation, and platform engineering.
- Strong proficiency in Python, including developing APIs, automation frameworks, backend services, and operational tooling.
- Experience with Python frameworks such as FastAPI, Flask, or Django.
- Hands-on experience with Azure, AWS, or GCP services.
- Experience building user interfaces using React or similar frontend frameworks.
- Strong understanding of Infrastructure-as-Code (Terraform, ARM/Bicep, CloudFormation).
- Experience with CI/CD pipelines, DevOps practices, and automation.
- Knowledge of Docker, Kubernetes, and container orchestration technologies.
Preferred Skills
- Python-based test automation frameworks such as PyTest, Robot Framework, Selenium, or Playwright.
- Experience with cloud SDKs, REST APIs, and infrastructure automation using Python.
- Familiarity with observability, monitoring, and log analytics platforms.
- Knowledge of cloud security, IAM/RBAC, networking, and governance controls.
- Experience building AI-enabled utilities, engineering accelerators, or internal developer platforms.
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