Anaconda Enterprise Engineer / Python Engineer (m/f)

Arηs Group, part of Accenture, is seeking a skilled Python Engineer with strong Anaconda Enterprise experience. This role involves designing, developing, and maintaining Python libraries and APIs using frameworks like FastAPI, Flask, or Django. The engineer will administer Anaconda Enterprise environments, support data science infrastructure, and integrate packages for ML workflows. Responsibilities also include implementing infrastructure automation with Terraform, CI/CD in Azure DevOps, monitoring system performance, and collaborating with data scientists and DevOps teams to ensure platform reliability and scalability.

Must Have

• Develop and maintain Python libraries and APIs (FastAPI, Flask, Django)
• Administer and support Anaconda Enterprise environments
• Integrate packages for data science and ML workflows
• Implement infrastructure automation with Terraform and Azure DevOps CI/CD
• Monitor system performance and troubleshoot platform issues
• Collaborate with data scientists, DevOps, and infrastructure teams
• Solid Python development experience
• Proficiency in Anaconda Enterprise or similar data science platforms
• Familiarity with Conda package management
• Strong understanding of Azure cloud platform
• Experience with Docker and Kubernetes

Company Description

Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development.

Arηs Group was acquired by Accenture in July 2024.

Job Description

We are currently looking for a skilled Python Engineer with strong experience in Anaconda Enterprise to join one of our client’s projects. You will play a key role in developing tools and supporting the data science infrastructure, ensuring performance, scalability, and smooth operations across environments used by data teams.

THE WORK:

• 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.

Onsite at client site: This role requires an onsite presence with our clients and partners to support project delivery and strengthen client relationships. Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

HERE’S WHAT YOU’LL NEED:

• 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.