
51 - 200 employés
🛍️ eCommerce
☁️ SaaS
🏪 Place de marché
eCommerce • SaaS • Marketplace
Promenade Group est une plateforme de commerce électronique qui soutient les entreprises locales en leur offrant une expérience d'achat en ligne intuitive et des solutions complètes de gestion d'entreprise. La plateforme s'adresse à divers types de commerces, y compris les fleuristes, restaurants, magasins de spiritueux, boucheries et animaleries, en proposant des fonctionnalités personnalisables telles que des vitrines en ligne, des services marketing et des outils pour gérer les commandes en ligne et en magasin. Avec plus de dix ans d'expérience, Promenade a développé des sites web optimisés pour le SEO et adaptés aux mobiles, conçus pour stimuler les ventes en ligne et améliorer la présence de marque des petits commerçants locaux. L'entreprise est dédiée à aider les petites entreprises à prospérer dans un marché hybride grâce à des solutions rentables qui augmentent les revenus en ligne et l'engagement des clients.
🕒 il y a 9 jours
🏄 California – Distant
💵 $135 000 - $150 000 / an
⏰ Temps Plein
🟠 Senior
🧑💻 Développeur Full-Stack
🦅 Parrain de Visa H1B
🗣️🇺🇸🇬🇧 Anglais requis
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51 - 200 employés
🛍️ eCommerce
☁️ SaaS
🏪 Place de marché
eCommerce • SaaS • Marketplace
Promenade Group est une plateforme de commerce électronique qui soutient les entreprises locales en leur offrant une expérience d'achat en ligne intuitive et des solutions complètes de gestion d'entreprise. La plateforme s'adresse à divers types de commerces, y compris les fleuristes, restaurants, magasins de spiritueux, boucheries et animaleries, en proposant des fonctionnalités personnalisables telles que des vitrines en ligne, des services marketing et des outils pour gérer les commandes en ligne et en magasin. Avec plus de dix ans d'expérience, Promenade a développé des sites web optimisés pour le SEO et adaptés aux mobiles, conçus pour stimuler les ventes en ligne et améliorer la présence de marque des petits commerçants locaux. L'entreprise est dédiée à aider les petites entreprises à prospérer dans un marché hybride grâce à des solutions rentables qui augmentent les revenus en ligne et l'engagement des clients.
• Talk to people, then build things. You'll work directly with business and engineering teams to understand what's slowing them down. You'll figure out whether the fix is traditional software, an AI integration, or some combination. Then you'll turn vague requirements into something you can actually build. • Own the whole thing. Prototype it, harden it, deploy it, monitor it. These are internal tools, so you move fast, but they still need to work reliably. • Build fast with AI-assisted development. We use tools like Claude Code to move quickly. You should be comfortable using them to scaffold, iterate, and ship. But you also need to read what they produce, catch what they get wrong, and know when to write it yourself. These tools make good engineers faster. They don't replace knowing how software works. • Use AI where it actually helps. Integrate LLM APIs (OpenAI, Anthropic, Gemini, etc.) when language understanding or probabilistic reasoning genuinely improves the outcome. Design prompt strategies and evaluation methods when you do. Skip the model call when a conditional statement would work better. Keep an eye on cost, latency, and reliability. • Write code other people can maintain. Build clean systems. Establish practical patterns for secure AI usage. Contribute to standards around observability, safety, and data handling. • Work with data. Write SQL against MySQL/ Snowflake, build internal dashboards, and turn business questions into lightweight data tools.
• 5+ years of professional software engineering. You've shipped production systems used by real people. That foundation matters here. We're not looking for someone who learned to code last year through prompting. • Solid backend skills: APIs, data modeling, system design. You can debug a failing deploy, read a stack trace, and reason about why something broke without asking a model to explain it. • Hands-on experience integrating LLM APIs into real applications. You understand what models are good at and where they fall apart. • Fluent with AI-assisted dev tools (Claude Code, Codex, Cursor, or similar). You use them to move faster, not as a crutch. You review generated code with the same rigor as code from a junior engineer. • Strong SQL (Snowflake experience is a plus). Javascript or Python preferred. • Comfortable with ambiguity. You don't need perfect specs to start building, and you take ownership from idea through production. • You can tell the difference between interesting and impactful. You talk to stakeholders directly and optimize for usability.
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