Senior Software Engineer

• Skills needed: Senior Software Engineer experience with a focus on building products users love. Experience in solving complex problems related to modernizing data collection processes using AI, streamlining quoting workflows across multiple carriers, and transforming legacy data formats into actionable insights for agents. Familiarity with backend systems, APIs, integrations with external data sources, cloud-native architecture, scalability considerations, and experience in working on a modern AI-powered platform from the ground up is required. • Years of Experience: Not explicitly stated; however, given that this position reports to SVP of Engineering at WR Berkley (a Fortune 500 company), it can be inferred that significant experience in senior software engineering roles would likely be a requirement or preference for the role. If not specified otherwise within additional context provided by the job posting itself, one might assume an expectation of several years' worth of relevant industry experience as this is typically common at such levels of responsibility and complexity. • Education: Not explicitly stated; however, given that it’s a senior position with significant responsibilities in building modern AI systems from scratch for the insurance sector, one might expect candidates to have advanced degrees or equivalent professional development experiences (e.g., industry certifications). If not specified within additional context provided by the job posting itself, an expectation of at least a Bachelor's degree with relevant experience and/or education in computer science, software engineering, data analytics, AI, etc., would likely be required for this role. • Certifications: Not explicitly stated; however, certifications related to cloud computing (e.g., AWS Solutions Architect), API development, modern web technologies (HTML5/CSS3, JavaScript frameworks like React or AngularJS), and AI tools relevant to the insurance industry could be beneficial for this role based on its responsibilities in building a new platform leveraging cloud-native architecture. • Must-haves: Experience with modernizing data collection processes using AI is explicitly stated as one of the problems that will help solve, making it an essential must-have skill or experience requirement for this role. Familiarity and proficiency in working on a team under guidance from senior engineers to write clean, maintainable code are also implied requirements based on their direct involvement with designing core platform features collaboratively.