About the position
The AI Software Development Engineer in Test will help create a culture that motivates teams to ensure zero defects leak into production. This role involves working across teams to understand enterprise quality requirements and ensuring the adoption of core processes and standards. The engineer will implement the shift-left test strategy for each line of business and leverage open-source automation frameworks and tools across all levels of testing that integrate into the automated CI/CD pipeline. Participation in the Agile (Scrum) team process is essential, performing required standard testing activities while keeping the customer experience top of mind during the testing process. The engineer will also work with internal teams to document test environment and test data management container strategies and provisioning for different types of testing activities. Additionally, they will comprehend and decompose user stories/requirements to identify what tests need to be created and automated across all levels of testing.
Responsibilities
- Create a culture that motivates teams to ensure zero defects leak into production.
- Work across teams to understand enterprise quality requirements and ensure adoption of core processes and standards.
- Implement the shift-left test strategy for each line of business.
- Leverage open-source automation frameworks and tools across all levels of testing that integrate in the automated CI/CD pipeline.
- Participate in the Agile (Scrum) team process and perform required standard testing activities.
- Document test environment and test data management container strategies.
- Comprehend and decompose user stories/requirements to identify necessary tests.
Requirements
- 5+ years of experience in testing automation engineering with both functional and API based testing.
- Proficiency writing code in Python.
- Experience writing end to end test scripts utilizing multiple services and reporting results.
- Experience using SQL to join and query data across multiple tables and schemas.
- Experience with AWS services including S3, Lambda, Dynamo DB, Cloudwatch, etc.
- Experience with CI/CD supporting technologies such as GIT, GitLab, Docker.
- Experience with up-to-date AI paradigms including large language models, classification models, MCP for agentic workflows, and dynamic prompting for LLMs.
Nice-to-haves
- BS/MS in Computer Science, Engineering, or related subject.
