Overview
The SDET Engineer will join a core engineering team, collaborating closely with Data Engineering and AI teams to enhance workflows in healthcare and life sciences. This role focuses on delivering enterprise-grade solutions to major pharmaceutical and medtech organizations, addressing complex data and workflow challenges. The successful candidate will leverage their expertise in automated testing frameworks and DevOps practices to make a measurable impact on business outcomes.
Responsibilities
- Design and implement automated testing frameworks.
- Develop CI/CD pipelines and implement DevOps best practices.
- Collaborate with AI Engineers and Data Engineers to deliver scalable solutions.
- Build, automate, and support AI/ML and data platforms in AWS.
- Support deployment, monitoring, and reliability of workflows.
- Engage with cross-functional teams to improve testing and deployment practices.
Requirements
- Hands-on expertise with AWS.
- Experience in building CI/CD pipelines and infrastructure-as-code.
- Strong knowledge of DevOps practices, cloud infrastructure, and automated testing.
- Understanding of software testing, quality engineering, and automation.
- Exposure to AI/LLM-based systems and modern data platforms.
- Experience in regulated environments is a plus.
- Proven record in SDET and QA automation roles.