Database Reliability Engineer III

About Us

Rent the Runway (RTR) is transforming the way we get dressed by pioneering the world’s first Closet in the Cloud. Founded in 2009, RTR has disrupted the $2.4 trillion fashion industry by inspiring women with a more joyful, sustainable and financially-savvy way to feel their best every day. As the ultimate destination for circular fashion, the brand now offers infinite points of access to its shared closet via a fully customizable subscription to fashion, one-time rental or ownership.

RTR offers designer apparel and accessories from hundreds of brand partners and has built in-house proprietary technology and a one-of-a-kind reverse logistics operation. Under CEO and Co-Founder Jennifer Hyman’s leadership, RTR has been named to CNBC’s "Disruptor 50" five times in ten years, and has been placed on Fast Company’s Most Innovative Companies list multiple times, while Hyman herself has been named to the "TIME 100" most influential people in the world and as one of People magazine’s "Women Changing the World."

As a Database Reliability Engineer, you’ll take ownership of the performance, reliability, and data governance of our cloud-managed database platforms, primarily Cloud

SQL (MySQL) and Mongo

DB. A key part of the role is driving data lifecycle management – including pruning, archiving, and retention policies – to ensure our platform remains clean, compliant, and cost-efficient. You’ll collaborate with engineering teams to optimize query performance, advance automation efforts, and evolve our database operations toward a modern, cloud-native, infrastructure-as-code model. As part of our broader data platform transformation, you’ll have the opportunity to take on scoped work in support of the Data Engineering team – contributing to the data platform rebuild through your expertise in database performance, structure, and governance.

This is a hands-on, cross-functional role that plays a critical part in maintaining a scalable, governed, and low-maintenance data foundation as the business grows.

• Manage and optimize Cloud
  
  SQL and Mongo
  
  DB environments for performance, reliability, and cost
• Implement data lifecycle and governance practices (e.g., pruning, retention, access control)
• Improve platform efficiency through query tuning, schema design, and automation
• Contribute to infrastructure-as-code and CI/CD workflows for database operations
• Support incident response, root cause analysis, and cross-functional platform initiatives
• Help evolve the DBA role into a modern, proactive database engineering function
• Take on scoped technical delivery work as part of broader Data Engineering platform initiatives

• 6+ years of experience working with relational databases (e.g., MySQL, Postgres) in production, including cloud-managed services like Cloud
  
  SQL or RDS
• 2+ years of hands-on experience with Mongo
  
  DB, including performance tuning and applying governance or lifecycle practices
• Worked in cloud-native environments (preferably GCP) and comfortable using Terraform or equivalent infrastructure-as-code tools
• Proficient in Python (or another general-purpose language) for scripting, automation, or infrastructure workflows
• Experience implementing CI/CD workflows for database changes and familiar with Git-based deployment
• Contributed to or enforced data governance policies such as retention, pruning, and access controls
• Made measurable improvements to platform performance, cost, or reliability – including optimizing indexing strategies, query patterns, and database schema design
• Take ownership, communicate clearly, and enjoy collaborating with engineers and data teams
• Pragmatic, improvement-driven, and excited to shape the future of database engineering in a cloud-first world

• Familiarity with Snowflake or Big Query, including query performance and cost optimization
• Experience working with workflow orchestration tools such as Prefect, Airflow, or similar
• Experience integrating SQL or dbt linters into CI/CD workflows to enforce code quality and platform standards
• Experience designing or maintaining data quality checks, test automation, or schema validation workflows

• Paid Time Off…