Grocery TV

Grocery TV

Senior Staff Engineer - Golang

Austin, Texas · Staff+

Sponsorship not specified$195k-$215kDetected 7 days ago
GoDistributed SystemsBackend DevelopmentCode ReviewLeadershipProblem Solving

About the role

  • This engineer will play a critical role in scaling and hardening Grocery TV's backend systems as the platform continues to grow.
  • This engineer will work across APIs, content delivery pipelines, and media network orchestration services to improve system resiliency, performance, and reliability.

Responsibilities

  • Design, build, and maintain high-scale backend services using Go
  • Lead implementation of backend projects that improve system reliability, resiliency, and performance
  • Design and evolve API-first services that support customer-facing and internal applications
  • Contribute to system architecture and technical design for future initiatives
  • Partner with Product to scope, plan, and execute backend work aligned with business goals
  • Participate in a shared on-call rotation to support production systems
  • Collaborate closely with other engineers through pairing, design reviews, and code reviews
  • Drive operational excellence through observability, monitoring, and incident follow-ups
  • Proactively identify and implement process improvements in software development process
  • Over 120 retailers partner with Grocery TV to modernize stores and drive incremental revenue while delivering a more engaging shopping experience.

Requirements

  • Bachelor's degree in Computer Science or Computer Engineering
  • Strong proficiency in Go for building backend services

Compensation

  • $195,000 - $215,000

Benefits

  • 100% medical, dental, vision coverage options for employees
  • $1200 annual HSA match
  • $1000 annual learning & development budget per employee
  • 16 Week Parental Leave for all new parents
  • DoorDash monthly lunch stipend
  • One $500 Work from home set up stipend
  • Unlimited PTO

This listing is sourced directly from Grocery TV's careers page and normalized into a canonical job model.