Qualtrics seeks an experienced Engineer to design and implement cloud services for our advanced AI/ML platform, aiming to personalize the Qualtrics experience and highlight data as a key value proposition.
Requirements
- Has developed scalable, fast, robust, and rich web-based solutions to solve complex business problems, using the latest frontend and backend technologies.
- Strong algorithms, data structures, and coding background.
- Experience with continuous delivery, git, test automation, and build/deploy systems.
- Experience building large-scale distributed data pipelines and/or large-scale ML systems.
- Familiarity with containerization and full-stack development.
- Implement new functionality from requirements and specifications.
- Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models.
Responsibilities
- Develops scalable, robust, and highly available micro services for statistical analysis and machine learning model deployment.
- Implements new features and optimizes existing ones to enhance customer satisfaction.
- Focus on the development of SaaS Software and build, distribute, scale and operate these services.
- Develop scalable, fast, robust, and simple web-based solutions to solve complex business problems.
- Implement new features and optimize existing ones to drive maximum performance.
- Work closely with and incorporate feedback from other engineers, tech-ops, and product managers.
- Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity
Other
- Fosters trust with customers and teams through clear and comprehensive communication.
- Proven ability to collaborate effectively within teams, partnering with managers, cross-functional teams, and teammates.
- Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers
- The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader.
- Bachelor’s or Master’s degree in Computer Science or related field
