Job Description

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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.
As a

IT Software Developer

, you will lead the design and implementation of scalable, cloud-native solutions that support SAS Viya deployments and automation across the SAS Managed Cloud Services. You will collaborate with global developers and stakeholders to ensure architectural integrity, performance, and long-term maintainability of our systems.

What we're 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.