Senior Software Engineer

Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit www.accelerant.ai.

We’re looking for exceptional software engineers who enjoy solving real customer problems, moving quickly, and taking ownership from idea through to production.

We are building engineering squads for the AI era - teams that can move quickly, own outcomes end to end and deliver with far greater leverage than traditional software teams. Our engineers use AI throughout the development lifecycle to generate code, automate testing, accelerate delivery, and improve quality, while applying strong engineering judgement to everything that ships.

The engineers who thrive here are adaptable, curious and outcome oriented. They use AI as a force multiplier while remaining accountable for the quality and impact of what ships. Most importantly, they take ownership, learn quickly, collaborate closely and enjoy building useful software in a fast-moving environment.

You’ll help build the core software systems, intelligent workflows, and AI-enabled experiences that will make up the critical enterprise solutions tech stack and solutions power our business.

• →Build and ship custom software, intelligent workflows, and AI-enabled product capabilities as part of a cross-functional product engineering squad
• →Use AI tools throughout the software development lifecycle to accelerate discovery, implementation, testing, debugging, and operational excellence
• →Design and implement scalable APIs, services, data flows, and modern web applications
• →Contribute to intelligent capabilities such as integrations, automation, recommendations, and operational insights
• →Design systems and services that integrate modern AI capabilities into real business workflows in reliable, secure, and production-ready ways
• →Ship early, learn quickly from users and production, and continuously iterate and improve
• →Own the quality, reliability, and performance of what gets shipped
• →Contribute to technical decisions and continuously improve how we build software
• →Improve reliability, performance, observability, and developer experience

• Strong software engineering fundamentals and excellent engineering judgement
• Experience building and scaling modern web applications, services, or APIs
• Strength in one area of the stack, with the curiosity and ability to contribute more broadly
• Engineers who take ownership of outcomes, not just tickets, tasks, or lines of code
• A builder mindset: comfortable turning unclear problems into working software, iterating quickly, and learning as you go
• Strong problem-solving, communication, and collaboration skills
• Comfort moving quickly while maintaining quality, security, and production readiness
• Curiosity about how AI can improve customer experiences, workflows, and software products in practical, production-ready ways
• Excited by building intelligent product experiences powered by modern software, data, and AI capabilities
• A strong interest in using AI not just to assist with coding, but to rethink and improve how software is designed, built, tested, shipped, and operated
• A desire to work close to the problem, not just the implementation

React, TypeScript, Node.js, PostgreSQL, Redis, Snowflake, AWS, Azure and modern cloud infrastructure. You do not need experience with every technology above, but you should be comfortable learning quickly and working across a modern technology stack.