Sr Software Development Engineer in Test, GenAI Platform

Senior Software Development Engineer in Test - Hybrid At SAS, where you start doesn’t have to be where you end; and there is ample opportunity for internal career mobility. Whether you’re looking to grow a new skill or experience a new role, there’s no time like the present to take the next step; and we’re here to support you in your journey. About the job The Platform Products division is looking for a Software Development Engineer in Test to join a team of talented engineers working collaboratively to ideate and deliver a cutting edge, innovative platform enabling SAS’s internal stakeholders to use Generative AI in a secure, high-performing, lean, and scalable manner. You will contribute to building a platform used by a diverse set of technologies and industries. You will make an impact on how customers experience our software and play a crucial role in ensuring the quality of our products exceed their expectations. As a Senior Software Development Engineer in Test, you will: Support internal teams in their employment of the platform, helping them leverage the platform to build out GenAI-fuelled initiatives with a secure and testable framework. Set testing strategy for novel framework as well as validating products that use the framework. Create and maintain high quality of test automation using modern development techniques and provide key data points to support metrics-based decision making. Produce and analyze metrics that illustrate the quality of applications and develop insight that drives the direction of quality engineering. Work with team to promptly triage test failures with precision and accuracy, maintaining the health of the build pipeline. Work collaboratively with development, product, operations, and support peers to encourage quality, as a key design element in all work efforts. Engage in code reviews for product, test, and infrastructure code. Understand the role of deployment, migration, security, and performance in the continuous delivery lifecycle. Required Qualifications 8+ years of programming experience in one or more of the following languages (similar languages are acceptable): Python and/or Go. Bachelor's degree in a relevant field, preferably Computer Science or Artificial Intelligence. An equivalent combination of related education, training, and experience may be considered in place of the above qualifications. Experience and implementation experience with REST Interfaces and the OpenAPI specification. Fluent in state-of-the-art techniques, standards, procedures, and frameworks for software test development, e.g. Pytest, Cucumber. Demonstrated ability to distinguish between testing layers, match the correct approach to each situation, and design effective quality gates based on these layers. Expert in one test automation framework demonstrating the ability to create shareable code. Proficient with source control management techniques including branching, code review, and merging. Proficiency building and maintaining CI/CD solutions. Proficiency authoring and maintaining Dockerfiles. Understanding of Kubernetes components and cloud provider offerings. Familiarity with CI/CD infrastructure, platform configuration, integration, and secret management. Ability to pivot quickly and seamlessly toward areas of need. Right to work in posted work location. You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do. Preferred experience: Experience with cloud computing platforms such as Azure, AWS, or Google Cloud, and ideally their AI services e.g. Azure Open AI. Knowledge and/or experience of Generative AI technologies and tooling e.g. OpenAI or other LLMs, PromptFlow, Langchain. Knowledge and/or awareness of benefits and pitfalls of using GenAI. Diverse and Inclusive At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here. Additional Information: SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law.

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