Full Stack Engineer

🕒 April 10

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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Accelerant

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

☁️ SaaS

🤝 B2B

💰 $150M Private Equity Round - Accelerant on 2023-06

SaaS • B2B

Accelerant is a digital-first risk exchange and insurance platform that connects managing general agents (MGAs), underwriters, reinsurers, and institutional capital through a tech-powered, data-driven marketplace. The platform provides real-time analytics, underwriting tools, performance metrics, and operational support (actuarial, claims, regulatory) to streamline specialty insurance distribution and enable faster, more transparent capital deployment. Accelerant positions itself as a SaaS-style partner for specialty insurance firms, focused on improving efficiency, transparency, and profitable growth.

📋 Description

• 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.

🎯 Requirements

• 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.