Full Stack Engineer

🕒 vor 6 Monaten

🌐 Vereinigte Staaten, Kanada – Remote

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🏄 California – Remote

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⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

🦅 H1B-Visum-Sponsor

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👻 Geisterscore 46%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Accelerant

Accelerant

201 - 500 Mitarbeiter

Gegründet 2018

🛡️ Versicherung

☁️ SaaS

🤝 B2B

💰 €150.000.000 Private Equity Round - Accelerant im 2023-06

Insurance • SaaS • B2B

Accelerant ist eine digitale Risikobörse und Versicherungsplattform, die Managing General Agents (MGAs), Underwriter, Rückversicherer und institutionelles Kapital über einen technologiegestützten, datengesteuerten Marktplatz verbindet. Die Plattform bietet Echtzeitanalysen, Underwriting-Tools, Leistungskennzahlen und operativen Support (aktuarisch, Schadenregulierung, regulatorisch), um die Distribution von Spezialversicherungen zu optimieren und schnellere, transparentere Kapitalbereitstellungen zu ermöglichen. Accelerant positioniert sich als SaaS-Partner für Spezialversicherungsunternehmen mit dem Fokus auf Effizienzsteigerung, Transparenz und profitables Wachstum.

Beschreibung

• Working closely with peer engineers, product managers, and other stakeholders to understand project requirements and deliver solutions that meet business needs. • Developing new frontend and backend features that help make our customers successful. • Writing backend code in Typescript that is fully unit tested. • Writing frontend code in Svelte, optimizing the frontend codebase for speed, efficiency, maintainability, and scalability. • Moving fast, while taking the time to ship high-quality code.

🎯 Anforderungen

• Experience building and scaling web applications. • Strong understanding of modern JavaScript frameworks. • Strong coding ability. • Passionate problem-solving mindset. • Reputation for getting things done. • Strong sense of ownership. • Desire to learn and grow. • Experience with Typescript. • Experience with Svelte, web components, or equivalent component model. • Experience with cloud platforms such as AWS, and databases such as Postgres and Snowflake. • Experience with SQL-Like databases and data caching strategies such as Postgres, Snowflake, and Redis. • Experience integrating AI into the development lifecycle, including hands-on use of tools such as Cursor, Claude, and other LLM-based coding assistants to accelerate design, implementation, testing, and refactoring. • Experience building AI-enabled features and applications, including working with modern LLM APIs, prompt design, retrieval-augmented generation (RAG), vector databases, and developer tooling such as LangChain or equivalent frameworks.

Jetzt Bewerben

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