Python Developer

About the Role

SAS CloudOps Platform Team is transforming how we deliver hosted and remote managed services by leveraging cutting-edge technologies to enhance customer experience and operational efficiency.

IT Software Developer

What were looking for

Education and Experience

• Curious, Passionate, Authentic, and Accountable. These are our values and influence everything we do.
• Bachelor’s degree in computer science, Information Technology, or a related field. A master’s degree is preferred.
• Minimum ten years of experience in software development, with at least five years in an architect role.
• Proven experience in designing and implementing complex software systems.

Required Skills

Must have: Cloud (Azure/AWS), Python, Kubernetes

• Proficiency with either Azure Cloud, AWS, or both.
• Design, maintain, document, and implement cloud solution and services
• Extensive experience with modern technologies such as Docker and Kubernetes.
• Proficiency in automation development using Python and other scripting languages.
• Experience with workflow automation tools (e.g., n8n).
• Exposure to developer experience platforms or internal developer portals.
• Experience with DevOps practices and tools.
• Strong experience with API development and integration.
• Expertise in application deployment, operations, and support.
• Strong understanding of software development methodologies and best practices.
• Assess complex technical and business requirements and take ownership of projects with minimal guidance.

The Nice to Haves

• Familiarity with AI and ML technologies.
• Experience with networking design and implementation.
• In-depth knowledge of security authentication and authorization protocols.
• Experience with cloud-native architecture and serverless computing.
• Experience with data architecture and data modeling.

Other Knowledge, Skills, and Abilities

• Strong verbal, written, and interpersonal communication skills.
• Attention to detail and accuracy, while maintaining a solid awareness of the ‘big picture’.
• Ability to communicate with global peers and management in a clear, straightforward, and effective way.
• Strong analytic and deductive reasoning skills.
• Knowledge of data science technology and architecture.
• Ability to support global external and internal customers, negotiating any challenges presented by different cultures, work practices, and time zones.
• Ability to work flexible business hours as required by global customers/business needs.
• Communicate clearly and efficiently with internal and external stakeholders, highlighting any risks or blockers with recommendations to remediate and work around identified issues.
• Identify, design, and implement new initiatives designed to ensure long-term customer success and value.
• Stay current on industry trends, technologies, and best practices.
• Engineer solutions to ensure scalability, reliability, and performance.