Sr. Associate Sdet

About the job

The Applied AI & Modelling (AAIM) Division at SAS is looking for a Software Development Engineer in Test (SDET) to join our global engineering team. In this role you will collaborate to design, build, and support scalable automated test frameworks, tools, and test suites to ensure quality within expected timelines during the software model development cycle. Additionally, you will provide DevOps support for the division.

As a Sr. Associate Software Development Engineer in Test you will:

• Design, implement, and maintain automated test frameworks, tools, and scripts that address specific needs.

• Design and implement test plans (cases, scenarios, usage).

• Create test strategies, test scenarios, and test ideas with clear intent.

• Work with data scientists to test model accuracy and performance.

• Research innovative technologies, trends, architectures, and implementation techniques as they relate to the delivery of models and data in CI/CD.

• Understand complex usage concepts and assess applications' ability to fulfill them.

• Design, develop, document, and execute manual tests when automated scripts are not available.

• Perform peer code review.

• Identify risks, issues, potential defects, or defects in any phase of the project life cycle, managing them through closure.

• Demonstrate aptitude for problem solving and debugging of complex software systems.

Role Competencies:

• Technology Savvy

• Work Standards

• You're curious, passionate, authentic, and accountable. These are our values and influence everything we do.

Required qualifications

• Bachelor's degree in computer science or related quantitative field.

• 2-5 years of experience developing automated tests using REST, Python, or other modern assert-based frameworks.

• Experience working with container platforms and technologies such as Docker and Kubernetes.

• Exposure to GitHub, Jenkins, Git, and Gerrit.

• Experience working in an agile software development environment.

• Prior experience working with collaboration tools such as Jira.

Preferred qualifications

• Experience developing, deploying, and maintaining infrastructure in a public cloud platform, such as Azure, AWS, or GCP.

• Exposure to programming languages such as Groovy or Go.

• Proficiency in big data handing tools such as SAS (PROC SQL, BASE SAS, and SAS/STAT), Python programming

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