Software Engineer - Capacity

Responsibilities

• 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

Requirements

• 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

Benefits

• 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