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Slideshare

Staff Software Engineer, Core

Slideshare

. Set technical direction for the Everand backend through design documents and architecture reviews .

Posted 10/7/2026full-timeUnited StatesLead💰 $171,000 - $255,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend engineering with a focus on building scalable, reliable, and observable systems. Proven ability to lead architectural direction, mentor engineers, and collaborate cross-functionally with product and design teams.

Highest-signal resume keywords
Backend EngineeringDistributed SystemsRuby ProgrammingTechnical LeadershipReliability and Observability

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Backend EngineeringDistributed SystemsRuby ProgrammingScala ProgrammingGo ProgrammingPython ProgrammingSLO DefinitionMetrics ImplementationDebugging Distributed SystemsModernization Efforts
Soft Skills
MentorshipCollaborationCross-Functional CommunicationTechnical Direction
Tools & Technologies
CI/CDDatabasesQueuesTelemetryExperimentation PlatformsFeature-Flagging Platforms
Industry Keywords
Technical DebtObservabilityUser-First ApproachCross-Team PlanningProduct Collaboration

Tech Stack

Tools & technologies
Distributed SystemsPythonRubyScalaGo

About the role

Key responsibilities & impact
  • Set technical direction for the Everand backend through design documents and architecture reviews
  • Translate ambiguous product intent into concrete backend designs
  • Own backend reliability and platform health, including staging, CI/CD, databases, queues, cost, and observability
  • Raise the team’s technical standards through PR reviews, mentorship, pairing, design, testing, and operations
  • Represent Everand backend in cross-team planning and cross-functional execution
  • Build scalable, resilient, and observable systems
  • Modernize legacy systems and eliminate technical debt
  • Partner with Product, Design, Analytics, Web, Mobile, and ML Engineers
  • Deliver backend systems supporting experimentation and a single source of truth across platforms
  • Use data, metrics, and telemetry to identify trends, resolve anomalies, and guide decisions
  • Champion a user-first approach to reading and listening experiences

Requirements

What you’ll need
  • Significant experience in backend engineering
  • Strong track record building and scaling distributed systems
  • Clean, maintainable, and secure code in at least one modern backend language such as Ruby, Scala, Go, or Python
  • Keen focus on reliability and observability
  • Experience defining SLOs, implementing metrics and alerts, and debugging distributed systems
  • Proven technical leadership in setting architectural direction, mentoring engineers, and driving large-scale migrations or modernization efforts
  • Ability to collaborate cross-functionally with senior Product, Design, and ML partners
  • Experience with architecture review groups and design discussions
  • Strong coding ability in Ruby is a plus
  • Experience improving reliability, latency, or throughput in large-scale distributed systems is a plus
  • Experience working alongside ML teams on recommendation or feed systems is a plus
  • Familiarity with experimentation or feature-flagging platforms is a plus
  • Primary residence in or near an eligible Scribd employment location
  • Work authorization in the country where the position is based

Benefits

Comp & perks
  • 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
  • Competitive equity ownership
  • Reasonable interview-process adjustments for accessibility