Overview Senior Software Engineer (Analytics & Science) at Cover Genius. Join to apply for the Senior Software Engineer (Analytics & Science) role at Cover Genius. About The Company Cover Genius is a Series E insurtech that protects the global customers of the world’s largest digital companies. Our partners integrate with XCover, our award-winning insurance distribution platform, to embed protection for millions of customers worldwide each year. What You Will Do As the Senior Software Engineer on the Data Team, you will own the design, build, and operation of our experimentation and AI platform. Your core tasks include leading the end-to-end delivery of data products, defining engineering best practices, and mentoring teammates to elevate the team’s capabilities. You will have extensive experience in software engineering, particularly with building and operating large-scale data systems or AI/ML solution platforms. You should possess strong skills in system design and architecture, cloud infrastructure, and a proven ability to deliver robust, cost-effective solutions. Leadership qualities, including experience in setting technical standards and mentoring others, are essential. Key Responsibilities System Development: Build and maintain the solutions that power key business functions like experimentation platform, personalisation, dynamic pricing and related capabilities. AI Tooling Development: Own best practices for AI Agents and enable other business functions to deploy AI Agents to solve real business problems. System Reliability & Observability: Design and implement robust monitoring, logging, and alerting systems to guarantee high availability and performance. Proactively identify, debug, and resolve production issues to maintain system health. Technical Leadership: Define and establish engineering standards and best practices for the Data Team to follow. What You Will Bring / Qualifications A Bachelor’s degree in Computer Science, Engineering, or a related field, plus 6 years of professional software engineering experience, with a focus on scalable data-intensive systems. Proven experience building and deploying applications powered by LLMs, utilizing RAG, prompt engineering, agents, and working with vector databases. Strong foundation in software engineering principles with ability to design, build, and maintain clean, scalable, testable Python-based solutions and internal libraries. Hands-on experience with end-to-end ML lifecycles, ML production deployment, Kubernetes orchestration, and CI/CD pipelines. Deep expertise in Site Reliability Engineering principles and practical experience with modern observability and monitoring tools, and Infrastructure as Code. Proficiencies and Attributes Ownership mindset with the ability to lead ambiguous, cross-functional initiatives to measurable outcomes. Innovative and curious mindset with interest in Generative AI. Commitment to quality and reliability, emphasizing observable, scalable, and resilient production systems. Natural mentor and technical leader who elevates the team and can articulate complex concepts to diverse audiences. Why Cover Genius? Flexible Work Environment - hybrid work with in-office days and flexible start/finish times. Employee Stock Options - ownership for contributions in creating a world-class company. Work with like-minded people and participate in social programs that support global communities. Social Initiatives - programs that enable philanthropy through recognition and rewards. Diversity and Inclusion Cover Genius promotes diversity and inclusivity. We don’t tolerate discrimination, demeaning treatment of anyone, or harassment due to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. Privacy and Data Usage By submitting your application, you acknowledge that we may collect, store and process your personal data for recruitment purposes. We may use AI to assist in sorting applications, but all final decisions are made by our hiring team. We will keep your information on file for three years from the date of your application. For details about how we handle your data and our use of AI, please review our privacy policy. Job Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: IT Services and IT Consulting J-18808-Ljbffr
