Software Engineer - Database Engineering Team

Qualtrics, Provo, Utah, United States

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About Qualtrics

Qualtrics is the technology platform that organizations use to collect, manage, and act on experience data, also called X-data™. The Qualtrics XM Platform™ is a system of action, used by teams, departments, and entire organizations to manage the four core experiences of business—customer, product, employee and brand—on one platform. Over 11,000 enterprises worldwide, including more than 75 percent of the Fortune 100 and the top 100 U.S. business schools, rely on Qualtrics to consistently build products that people love, create more loyal customers, develop a phenomenal employee culture, and build iconic brands. Join us on this adventure that can open many doors!  If you’re searching for a company that’s dedicated to your ideas and growth, recognizes your unique contribution, fills you with purpose, and provides a fun, flexible and inclusive work environment - apply now!

The Challenge

The Database Engineering team at Qualtrics supports our Product Engineering teams with their data storage solution choices, database tooling, database api development, data modeling, performance, operations, and best practices. We currently support Mysql, MongoDB and Redis with their equivalent in AWS cloud native DbaaS. The team is constantly growing and will expand to own a large Memcache fleet and some middle-tier storage-related services in 2022. Engineers on the team are not in traditional “DBA” roles--the perfect engineer for our team has a passion for storage in all forms, expertise in at least some of the storage technologies we support, zeal for efficient and robust tooling, and the ability to work cross-team to accomplish engineering-wide initiatives. In other words, a hybrid of DBA, SDE, and Devops Engineer, with a sprinkling of Program Manager!

Expectations for Success

As a SDE on the Database Engineering team, you will help enable product engineering teams to make the most efficient and resource-effective usage of storage infrastructure so that our products achieve their availability, scalability, and performance goals while experiencing rapid growth in usage, develop and maintain services that access the database layer. Our product engineering teams are now leveraging a range of database products in both private and public cloud, including AWS Aurora, AWS Dynamodb, MongoDB, AWS Elasticache, MySQL/Galera, Redis and Elasticsearch. Our primary responsibilities are with our on-premise storage solutions, though the team may include support with multi-cloud storage solutions going forward. 

Responsibilities may include:

  • Monitoring and maintaining system’s capacity
  • Automation of DB vulnerability patching
  • Maintaining tooling for data access for engineers
  • Writing/owning services that operate on top of database storage layer
  • Tooling to improve the customer onboarding process
  • Refining data access policies and permissions
  • Application client driver upgrades, for example, with MySQL
  • Investigating / recommending HA solutions for MySQL and Redis
  • Security enhancements
  • Data storage upgrade procedures
  • Participate in oncall rotation, incident response and support
  • Storage health and performance monitoring
  • Internationalization improvements
  • Disaster Recovery strategies and tooling
  • Forensic analysis
  • Consolidation and expansion tooling, sharding


  • Bachelor degree in computer science, computer engineering, or a related field
  • Experience with Service-Oriented Architecture and distributed systems
  • Ability to communicate effectively to different levels of technical and non-technical audiences
  • Experience with NOSQL technologies such as MongoDB, Cassandra, DynamoDb, Redis etc
  • Experience with Mysql and/or RDBMS data modeling
  • Strong python or shell scripting skills
  • Advanced knowledge and troubleshooting of Linux OS
  • Plusses:
    • Experience with professional software engineering practices (e.g. unit testing, code reviews, design documents)
    • Experience with Golang, Python
    • Ability to ramp up on existing code bases in Golang or Python
    • Familiarity with AWS DbaaS like Elasticache, RDS|Aurora, timestream

Qualtrics is an equal opportunity employer

Qualtrics provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.


About Qualtrics

About us Qualtrics is a single system of record for all experience data, also called X-data™, allowing organizations to manage the four core experiences of business—customer, product, employee and brand experiences—on one platform. Over 8,500 enterprises worldwide, including more than 75 percent of the Fortune 100 and 99 of the top 100 U.S. business schools, rely on Qualtrics. To learn more, and for a free account, please visit www.qualtrics.com.


Want to learn more about Qualtrics? Visit Qualtrics's website.