Qualtrics is seeking a Staff Software Engineer to join their Data Platform team in Provo. The Data Platform is a critical component that supports all Qualtrics Experience Management products, handling data ingestion, storage, processing, and analytics at scale. The team designs systems for high availability, high throughput, data consistency, and security.
As a Staff Software Engineer, you'll be working on extending the platform while focusing on specialization and personal growth. The role involves full-stack development, from design and architecture to operations and optimization. You'll be challenged to deal with high-impact services that have demanding scale and reliability requirements.
The position offers significant growth opportunities, with time spent on the data platform occurring in "dog years." You'll be expected to identify hidden problems, exhibit healthy intellectual curiosity, and continuously question if there are better ways to do things. The team values collaboration, with opportunities to work across different projects and make substantial impacts on performance, cost, and reliability.
The ideal candidate should have 5-10 years of engineering experience, with strong expertise in distributed systems and data processing technologies. You'll need excellent problem-solving skills and the ability to work effectively in a team environment. The role offers various perks including an education budget, quarterly team off-sites, and a hybrid work model.
Qualtrics provides a supportive environment for growth through their QED (Qualtrics Engineer Development) Program, allowing engineers to invest up to 10% of their time each quarter in career advancement. The company's hybrid work model requires three days in the office (Mondays, Thursdays, plus one leader-selected day), promoting collaboration while maintaining work-life balance.
This is an excellent opportunity for an experienced engineer looking to make a significant impact in a growing company that serves over 18K clients globally. You'll be part of building and maintaining critical infrastructure that enables customer, employee, brand, and product experience teams to develop data-driven workflows and tools.