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Mid LevelFull-timePythonDjangoAzureKubernetesDockerTerraformMachine LearningData ScienceCI/CD
Salary Range
$81,600 - $110,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a skilled Python Engineer to join a client's project, focusing on developing tools and supporting data science infrastructure. This role requires ensuring performance, scalability, and smooth operations across environments used by data teams.
Key Responsibilities
- →Design, develop, and maintain Python libraries and APIs using FastAPI, Flask, or Django.
- →Administer and support Anaconda Enterprise environments, including user and permission management, environment customization, and platform optimization.
- →Support the integration of packages and dependencies required for data science and machine learning workflows.
- →Implement and maintain infrastructure automation using Terraform, and CI/CD pipelines in Azure DevOps.
- →Monitor system performance, diagnose platform-related issues, and ensure platform responsiveness and reliability.
- →Work closely with data scientists, DevOps, and infrastructure teams to align the platform with user needs and security requirements.
- →Contribute to continuous improvements in reliability, scalability, and user experience of the platform.
Requirements
- ✓Solid experience in Python development and ecosystem.
- ✓Proficiency with Python frameworks such as FastAPI, Flask, or Django.
- ✓Hands-on experience with Anaconda Enterprise or similar platforms used in data science environments.
- ✓Familiarity with package management tools (e.g., Conda).
- ✓Strong understanding of cloud platforms, preferably Azure.
- ✓Experience with Infrastructure as Code (Terraform) and CI/CD pipelines.
- ✓Knowledge of data science libraries (e.g., pandas, NumPy, SciPy).
- ✓Understanding of container technologies like Docker and Kubernetes.
- ✓Strong problem-solving mindset and ability to work across multidisciplinary teams.
