SDET
sas
Job Description
- Gathers requirements from stakeholders (product management, development, testing, management etc.) to determine SAS software performance goals.
- Verifies whether performance of software is meeting goals by experimentation - including experiment design, scripting, prototyping, manual testing, data bulk-up, load generation etc.
- Creates and maintains high quality test automation using modern development techniques and provides key data points to support metrics-based decision making.
- Produces and analyzes metrics that illustrate the quality of applications and develop insight that drives the direction of quality engineering.
- Works with team to promptly triage test failures with precision and accuracy, maintaining the health of the build pipeline.
- Works collaboratively with development, product, operations, and support peers to encourage quality, as a key design element in all work efforts.
- Engages in code reviews for product, test, and infrastructure code.
- Protects users from escaped defects, participate in support escalations, and value Customer Experience (CX) above all.
- Understands the role of deployment, migration, security, and performance in the continuous delivery lifecycle.
- Practices effective techniques for deploying and operating SAS software in a multi-cloud environment.
- Assists the development of NLP models for tasks such as text classification, entity recognition, search, summarization, sentiment analysis, and AI agents.
- Stays up to date with advancements in NLP, LLMs, and AI research, and guide adoption where relevant.