Senior Backend Engineer (Endless Commerce)
Pear VCSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Location Intelligence, Geospatial Data, Mapping, Data & AnalyticsIndustries
Requirements
Candidates should possess at least 3 years of experience in full stack engineering roles, demonstrating a deep knowledge of Ruby (Rails or similar frameworks), PostgreSQL—including writing queries, designing schemas, and optimizing performance, and frontend experience using Next.js, React, or a similar component-based JavaScript framework. They should also be comfortable working in a startup environment, wearing multiple hats, working autonomously, and moving quickly, and possess a product mindset, caring about the user rather than just the code.
Responsibilities
The Senior Full-Stack Ruby Engineer will build, ship, and own end-to-end features using Ruby (Rails) on the backend and Next.js (React) on the frontend, designing and implementing APIs, data models, background jobs, and UIs with extreme performance and usability in mind. They will collaborate with product managers and designers to shape the product roadmap and deliver high-quality user experiences, write clean, well-tested, and maintainable code across the stack, participate in code reviews, technical planning, and continuous improvement of the architecture and processes, and support production systems—debugging issues, improving observability, and contributing to a culture of ownership and accountability.
Skills
Ruby
Rails
PostgreSQL
Next.js
React
JavaScript
API Design
Data Modeling
Background Jobs
Frontend Development
Backend Development
Performance Optimization
UI/UX Design
Autonomous Working
Communication
dataplor
Provides accurate global Points of Interest data
About dataplor
Dataplor provides accurate Points of Interest (POI) and territory data for businesses, investors, and market analysts globally. Their services help clients make informed decisions by offering precise and actionable data. Dataplor's product works by enriching existing systems with real-time POI data, allowing clients to understand where their products are sold and to analyze the competitive landscape. Unlike competitors, Dataplor emphasizes advanced qualitative Key Performance Indicators (KPIs) and has a strong Quality Control (QC) process to ensure data reliability. The company's goal is to support effective investment decisions and sustainable growth strategies by delivering exceptional global data tailored to the needs of its clients.
Manhattan Beach, CaliforniaHeadquarters
2016Year Founded
$16.6MTotal Funding
SERIES_ACompany Stage
Data & Analytics, ConsultingIndustries
51-200Employees