8 часов назад
Senior Software Engineer, Predict (Ruby on Rails)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, Predict (Ruby on Rails): Building and maintaining backend services, scalable ETL/ELT data pipelines, and new features for an AI-powered ecommerce advertising platform with an accent on Ruby on Rails, SQL, and data-driven product development. Focus on designing complex backend projects, improving system performance and code quality, and solving large-scale ecommerce challenges.
Location: Hybrid schedule based in Lehi, Utah, US
Company
accelerates global brands on ecommerce marketplaces through proprietary technology, AI, machine learning, and an ecommerce acceleration platform.
What you will do
- Develop and maintain backend services for the advertising technology platform.
- Build new features while resolving technical debt and maintaining existing systems.
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Participate in two-week sprints, sprint planning, and technical and product roadmap development.
- Collaborate with product managers, engineers, and cross-functional stakeholders throughout the software development lifecycle.
- Scope and drive complex backend projects and architectural improvements focused on performance and code quality.
Requirements
- 3+ years of professional software engineering experience focused on backend development.
- Proficiency in Ruby on Rails.
- Experience designing, developing, and maintaining scalable data pipelines using ETL/ELT.
- Strong SQL proficiency and solid software engineering fundamentals.
- Ability to work independently with minimal supervision and contribute to development projects.
- Experience using AI tools to improve software development processes and code quality.
Nice to have
- Experience with Python, Go, React, or Java.
- Side projects related to data and analytics.
Culture & Benefits
- Unlimited paid time off and paid holidays.
- Health, vision, and dental insurance.
- Company-paid life insurance.
- 401(k) match: 100% of the first 3% and 50% of the next 2% of eligible compensation deferred.
- Onsite fitness center and casual dress code.
- Opportunities for professional development, internal mobility, and exposure to global-scale architecture and AI integration.
Hiring process
- Initial phone interview with the talent acquisition team.
- Video technical interview followed by an onsite interview with the hiring manager and department leaders.
- Professional reference checks, executive review, and offer.
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