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Salary: USD 121,000 - 147,000 / annual
Qualtrics is seeking a Software Engineer II to join its Data Platform team in Seattle. The Data Platform is the backbone of Qualtrics' experience management products, handling ingestion, storage, processing, and analytics of experience data at scale. The team designs systems for high availability, high throughput, data consistency, and security, enabling customer, employee, brand, and product experience teams to build data-driven workflows.
In this role, you will focus on developing scalable, robust, and highly available data-intensive microservices. You'll implement new features and optimize existing ones to deliver customer value, working across the full stack of SaaS software development. You'll participate in design and architecture, requirements gathering, full-stack development and delivery, operations, quality, and performance optimization. Collaboration is essential—you'll partner with UX, TechOps, Product, and other engineering teams to achieve the best product designs.
You'll attend daily stand-ups, prioritize features, serve on an on-call rotation, and consistently deliver value to customers. The role offers significant growth opportunities: you'll develop a broader understanding of distributed systems, caching, routing, queue management, and event-driven systems. You'll learn to build scalable, fast, robust SaaS solutions and gain familiarity with containerization and full-stack development. The scale of problems means your impact will be substantial, with opportunities to influence performance, cost, and reliability across the platform. You'll also have opportunities to mentor and lead teammates.
Qualtrics operates on a hybrid work model: three days per week in the Seattle office (Mondays, Thursdays, plus one day selected by your organizational leader), with flexibility to work remotely the rest of the week. The team enjoys a collaborative office environment with amenities, quarterly offsites, and an education budget.
REQUIREMENTS:
- Bachelor's degree in Computer Science or related field
- 2–5 years of meaningful engineering experience
- Expertise in algorithmic execution, data structures, and data modeling
- Ability to estimate and deliver on coding objectives
- Experience with distributed systems and data processing technologies
- Strong mathematical and/or computational background
- Knowledge of open source/industry standard data processing, storage, and serving technologies
- Excellent troubleshooting skills
