
1001 - 5000 Mitarbeiter
🛍️ eCommerce
🤖 Künstliche Intelligenz
🤝 B2B
eCommerce • Artificial Intelligence • B2B
Commerce ist ein Unternehmen, das flexible, KI-gesteuerte Lösungen für den Handel der nächsten Generation bietet. Es verbindet verschiedene Tools und Systeme, um Wachstum zu fördern und das Datenpotenzial von Unternehmen freizuschalten. Mit einem Fokus auf nahtlose, personalisierte Erlebnisse in großem Maßstab unterstützt Commerce Unternehmen durch maßgeschneiderte Lösungen und umfassende Dienstleistungen. Seine Plattform umfasst Angebote wie BigCommerce, Feedonomics und Makeswift, die darauf abzielen, Innovationen zu ermöglichen, Daten zu optimieren und anpassbare digitale Erlebnisse zu schaffen.
đź•’ vor 8 Tagen
🤠Texas – Remote
đź’µ $186.000 - $280.000 / Jahr
⏰ Vollzeit
đź”´ Experte
🧑‍💻 Full-Stack-Entwickler
🦅 H1B-Visum-Sponsor
đź‘» Geisterscore 0%
🗣️🇺🇸🇬🇧 Englisch erforderlich
Woher diese Stelle stammt
Veröffentlicht auf der Karriereseite von Commerce, nicht über eine Jobbörse
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1001 - 5000 Mitarbeiter
🛍️ eCommerce
🤖 Künstliche Intelligenz
🤝 B2B
eCommerce • Artificial Intelligence • B2B
Commerce ist ein Unternehmen, das flexible, KI-gesteuerte Lösungen für den Handel der nächsten Generation bietet. Es verbindet verschiedene Tools und Systeme, um Wachstum zu fördern und das Datenpotenzial von Unternehmen freizuschalten. Mit einem Fokus auf nahtlose, personalisierte Erlebnisse in großem Maßstab unterstützt Commerce Unternehmen durch maßgeschneiderte Lösungen und umfassende Dienstleistungen. Seine Plattform umfasst Angebote wie BigCommerce, Feedonomics und Makeswift, die darauf abzielen, Innovationen zu ermöglichen, Daten zu optimieren und anpassbare digitale Erlebnisse zu schaffen.
• Lead the design, development, and evolution of scalable, reliable, high-performance distributed systems • Drive architectural discussions spanning multiple platform domains and participate in cross-domain architectural working groups • Contribute to the long-term technical roadmap • Ensure technical decisions support performance, scalability, reliability, security, and maintainability • Drive integration of machine learning models and GenAI solutions into existing and future products • Evaluate emerging AI infrastructure and development practices and advocate for valuable adoption • Share knowledge about distributed systems, cloud technologies, and artificial intelligence • Build and maintain high-performance, reliable, and secure software systems • Write testable, maintainable code and lead in-depth code reviews • Identify and address performance bottlenecks, scalability challenges, and system reliability issues • Build tools and frameworks enabling faster and safer delivery by other engineers • Collaborate with engineers, product managers, designers, and stakeholders across global teams • Provide technical leadership and mentorship to engineers at all levels • Promote knowledge sharing, continuous improvement, and mentorship across teams
• Minimum of 10 years of professional software engineering experience delivering production systems • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience • 10+ years of professional software development experience with demonstrated leadership in technical direction and architecture • Expertise in back-end development with two or more server-side languages, such as PHP, Go, Scala, Java, Python, or Ruby • Proven experience architecting, building, and maintaining large-scale distributed systems • Strong understanding of distributed systems concepts, including consensus, consistency, and fault tolerance • Experience with cloud platforms such as AWS or GCP and microservices architecture • Solid experience with SQL, in-memory storage, and other data storage solutions • Experience operating and monitoring services in production, including observability tooling such as Sentry, Kibana, or Datadog • Solid grasp of software design principles, testing strategies, and modern development practices • Strong problem-solving and debugging skills • Excellent communication skills and ability to articulate design decisions and rationale to technical and non-technical audiences • Proven track record of technical leadership and mentorship • Experience building product solutions with LLMs and GenAI technologies preferred • Familiarity with vector databases, model orchestration tools, inference frameworks, and cloud-native ML workflows preferred • Experience with SaaS or multi-tenant platforms operating at significant scale preferred
• Optional collaborative workspaces in Austin, Atlanta, and London for team gatherings, workshops, and in-person connection • Potential eligibility for variable compensation such as bonus or commission • Potential eligibility for equity • Benefits in accordance with local policies • Inclusive and accessible hiring experience • Identity verification processed securely in accordance with applicable privacy laws
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