We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.

Join our Analytics Lifecycle team within R&D Engineering to lead and deliver cutting-edge solutions for SAS Viya.

As a Software Developer, you will:

• Apply your technical expertise to design, develop, and deliver Model Studio products that are part of the SAS Viya analytics lifecycle.
• Collaborate closely with cross-functional teams to build innovative features and solve complex technical challenges.
• Champion software engineering best practices to ensure solutions are robust, scalable, and aligned with business objectives.

Key Responsibilities

• Design and development of microservices using industry-leading programming languages like GoLang and React.
• Solving technical challenges and ensuring adherence to high-quality coding standards.
• Participate in the full software development lifecycle, from project scoping to deployment and support.
• Ensure high-quality code through rigorous functional, unit, and performance testing.
• Collaborate closely with QA and managers to review and improve test plans.
• Take accountability for the entire lifecycle of the code, supporting internal and external consumers.

Experience :5-8 years  

Required qualification:

• Cloud Development: Demonstrated expertise in designing and implementing cloud-based applications.
• Programming Languages: Full-stack developer, proficiency in (Golang or Java) and react, with experience in Spring Boot, RESTful APIs, and MVC architectures. Awareness of test automation tools is as plus.
• Modern Tooling: Hands-on experience with CI/CD pipelines, tools like Jenkins, GitHub and containerization technologies such as Docker and Kubernetes.
• Cloud Platforms: Familiarity with leading public cloud providers (Azure, AWS, GCP).

Mandatory Technical Skills:

Proven experience in design and development of software product for the cloud environments using following technologies.

Technical Stack

• Languages: GoLang/Java and React.
• Cloud: Docker, Kubernetes, OpenShift, Azure, AWS, GCP.
• Interfaces: RESTful web services, command-line interfaces.
• Databases: PostgreSQL, Elasticsearch, Redis.
• Tools: GitHub, Gradle, Jenkins, SNYK.
• OS: Unix, Windows, z/OS

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