Resumen del rol

Software Engineer- Capacity

Requisitos y responsabilidades

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Details

  • Own the Capacity product end to end: scoping, design, implementation, and iteration based on feedback from internal stakeholders
  • Translate complex operational requirements from Capacity, Sales, and SRE teams into clean, ergonomic product experiences
  • Build and maintain full-stack features across the Capacity toolchain, including UI surfaces, APIs, and backend services
  • Identify workflow bottlenecks and manual processes across the capacity lifecycle and drive their elimination through tooling
  • Instrument your work with observability and monitoring so issues surface before they become incidents
  • Partner with SRE and Infra teams to ensure Capacity reflects the operational reality of the fleet, not just the desired state
  • Bachelor's degree or higher in Computer Science or a related field
  • 5+ years of software engineering experience, with meaningful time spent owning a product or internal platform end to end
  • Strong full-stack proficiency; experience with NextJS, Javascript, Postgres / Drizzle, Tailwind and AWS. Experience with SST.dev is a plus but not a requirement
  • Demonstrated ability to work directly with non-engineering stakeholders to understand requirements and translate them into product decisions
  • Experience building internal tooling, operational platforms, or developer infrastructure — particularly in high-growth or infra-heavy environments
  • High ownership mindset: you notice what is broken, you fix it, and you follow through
  • Interest in AI/ML infrastructure; familiarity with GPU infrastructure, or capacity planning is a meaningful plus
  • Competitive compensation, including meaningful equity.
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
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