Software Engineer 3
$165,000–$180,000 year
On-siteNew York, United States
Job Summary
Design and ship medium-to-large features end-to-end across subscriptions, pricing, billing, and order generation systems. Take defined problems from design through production, making sound technical decisions and following work through after it ships. Break larger efforts into shippable increments, surface blockers early, and reduce technical debt by designing data models that hold up during iteration. Debug systematically using available data, prioritizing reliability, performance, and security in code reviews. Partner closely with Product, Design, Data Analytics, and other engineering pods to solve problems collaboratively. Become a go-to person by building deep expertise in the domain and providing actionable feedback to teammates. Work in-office 4-5 days a week in SoHo, NYC.
Required Qualifications
- strong full-stack engineer
- 5+ years of experience building and shipping production software
- comfortable working across backend and frontend systems
- care deeply about quality
- build accurate mental models of how systems work
- think critically about the details
- look for opportunities to improve the codebase as you build
- gone deep on at least one technology or domain
- enough that teammates come to you for help
- naturally curious and eager to keep learning
- owner and a proactive self-starter
- can make progress in ambiguous environments
- prioritize effectively across competing work
- have the judgment to know when to push through a problem, change your approach, or pull someone else in
- resourceful and action-oriented
- find the information you need
- surface risks early
- look for practical ways to move complex work forward
- skilled communicator
- can absorb complexity and distill it into clear decisions and tradeoffs
- collaborate well across functions
- seek out perspectives that challenge your assumptions
- give meaningful, actionable feedback
- look for ways to improve the systems, tools, and practices around you
- comfortable questioning conventions and suggesting better ways of working
- use good judgment about when new technologies and tools, including AI, can improve the work and when they add unnecessary complexity
- love dogs
- excel in an in-office environment
- be in office 4 - 5 days a week
Desired Qualifications
- Master's degree preferred
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