Product Engineers Full Stack CX

About Trafilea

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands. With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands. We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.

Why Trafilea

We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast. 🚀 We build and scale our own brands. 🦾 We invest in AI and automation like few others in eCom. 📈 We test fast, grow fast, and help you do the same. 🤝 Be part of a dynamic, diverse, and talented global team. 🌍 100% Remote, USD competitive salary, paid time off, and more.

Job Responsibilities

You’ll work alongside talented engineers and cross-functional teams to design and build high-quality software while continuously improving the performance, reliability, and scalability of our systems.

You will:

• Design and build scalable technology solutions that support Trafilea’s growth and the evolution of Trafilea Engine.
• Develop new capabilities and continuously improve existing systems, with a strong focus on internal APIs and infrastructure.
• Write clean, maintainable, and efficient code designed for high-scale environments.
• Identify technical debt, inefficiencies, and bottlenecks, and implement solutions to address them.
• Improve system performance, reliability, security, and scalability.
• Contribute to technical planning, architecture discussions, and code reviews, helping raise engineering standards.
• Ensure strong observability through effective logging, monitoring, alerting, and debugging practices.
• Document technical solutions clearly to enable effective cross-team collaboration.
• Help shape the backlog and connect technical decisions and KPIs with product and business priorities.