Staff Software Engineer (Backend) - Everand Core

About the Role

As a Staff Software Engineer on the Everand Core team, you’ll help shape the future of how people discover, organize, and enjoy books. Everand is growing, and we’re evolving our reading and listening experiences to make stories more accessible, personal, and engaging for our readers. You'll play a vital role in connecting readers with the stories they love by owning the backend platform that powers Everand's web and mobile experiences. This includes everything from rapid experimentation to the services driving discoverability, personalization, and our core consumption journeys.

You'll work closely with engineers across search, recommendations, web, and mobile, as well as design and product partners, to align technical decisions with user needs and platform capabilities. Along the way, you'll build systems that drive performance, personalization, and reliability, and help shape the technical direction of our backend team. We value quality over speed, thoughtful planning over short-term hacks, and continuous improvement over “just good enough.” We’re looking for engineers who share these values and who are energized by writing clean, scalable code, trying new technologies, and collaborating with diverse teams. We believe the best experiences come from teams who care deeply about the people they build for, and each other.

Responsibilities

• Set technical direction for the Everand backend: writing and socializing design documents, driving architecture reviews, and turning ambiguous product intent into concrete backend design.
• Own backend reliability and platform health, including staging, CI/CD, databases, queues, cost, and observability.
• Raise the ceiling for the team through PR review, mentorship, pairing, and by setting a high bar on design, testing, and ops.
• Be the Everand backend voice in cross-team planning, and the glue in cross-functional execution.
• Foster a culture of technical excellence while driving scalable, resilient, and observable systems that let teams move fast, simplify complexity, and deliver with confidence.
• Modernize legacy systems and eliminate technical debt to improve velocity and scalability.
• Partner with Product, Design, Analytics, and Web, Mobile, and ML Engineers to deliver backend systems that support experimentation and a single source of truth across platforms, using data, metrics, and telemetry to uncover trends, resolve anomalies, and guide the team with clarity and foresight.
• Champion a user-first mindset, grounding technical decisions in how they enhance the reading and listening experience.

Requirements

• Significant experience in backend engineering, with a strong track record building and scaling distributed systems.
• Ability to write clean, maintainable, and secure code in at least one modern backend language such as Ruby (preferred), Scala, Go, or Python.
• A keen eye for reliability and observability, and care about defining SLOs, implementing metrics and alerts, and debugging distributed systems.
• A proven track record of technical leadership: setting architectural direction, mentoring engineers, and driving large-scale migrations or modernization efforts.
• Thrive in cross-functional collaboration, holding your own with senior PM, design, and ML partners, and caring more about the system landing well than about being right.
• Enjoy mentoring, knowledge-sharing, and contributing to cross-team initiatives, including architecture review groups and design discussions that shape Scribd's engineering culture.
• Care deeply about the users; understanding what makes Everand impactful in their daily lives and translating that empathy into the systems you build.

Nice-to-Have Skills

• Strong coding ability in Ruby.
• Experience improving reliability, latency, or throughput in large-scale distributed systems.
• Experience working alongside ML teams on recommendation or feed systems.
• Familiarity with experimentation or feature-flagging platforms.

Pay

At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. The reasonably expected salary ranges are:

• California, USA: $171,000 to $267,000
• United States (outside California): $141,000 to $254,000
• Canada: $179,000 CAD to $228,500 CAD

This position is also eligible for a competitive equity ownership and a comprehensive and generous benefits package.

Benefits

• Scribd Flex (flexible work model)
• Comprehensive health, dental, and vision coverage
• Mental health support and disability coverage
• Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
• Paid parental leave and family support benefits
• Retirement matching and employee equity
• Learning and development programs and professional growth opportunities
• Wellness and home office stipends
• Complimentary access to the Scribd, Inc. suite of products
• Enterprise access to leading AI tools

Schedule

Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.

Locations

Employees must have their primary residence in or near one of the following cities (including surrounding metro areas or locations within a typical commuting distance):

• United States: Atlanta, Austin, Boston, Dallas, Denver, Chicago, Houston, Jacksonville, Los Angeles, Miami, New York City, Phoenix, Portland, Sacramento, Salt Lake City, San Diego, San Francisco, Seattle, Washington D.C.
• Canada: Ottawa, Toronto, Vancouver
• Mexico: Mexico City