Apply in 3 Minutes Senior Software Engineer

Overview

Senior Software Engineer (Analytics & Science)

The Company: Cover Genius is a Series E insurtech that protects the global customers of the world’s largest digital companies including Booking Holdings, owner of Priceline, Kayak and Booking.com, Intuit, Uber, Hopper, Ryanair, Turkish Airlines, Descartes ShipRush, Zip and SeatGeek. We’re also available at Amazon, Flipkart, eBay, Wayfair and SE Asia’s largest company, Shopee. Our partners integrate with XCover, our award-winning insurance distribution platform, to embed protection for millions of customers worldwide each year.

Our team and products have been recognized with dozens of awards including by the Financial Times which ranked Cover Genius as the #1 fastest-growing company in APAC in 2020. Our diverse team across 20+ countries and many language groups commit itself to diverse cultural programs, in particular “CG Gives” which makes social entrepreneurs out of us all and funds development initiatives in global communities.

Our People are: Bold, Authentic, Purposeful and Inspired

Our People are not: Perfect, Traditional, Complacent or Cautious

About the Role

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 will involve leading the end-to-end delivery of data products, defining engineering best practices, and mentoring teammates to elevate the team's capabilities. To drive success in this role, you will have extensive experience in software engineering, particularly with building and operating large-scale data systems or AI/ML solution platforms. You will 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 powers key business functions like experimentation platform, personalisation, dynamic pricing and so on.
- AI Tooling Development: Own the 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 exceptional system health.
- Technical Leadership: Define and establish engineering standards and best practices for the Data Team to follow.

Skills and Experience

What you will bring:

- A Bachelor’s degree in Computer Science, Engineering, or a related field, coupled with 6+ years of professional software engineering experience, with a demonstrated focus on building and maintaining highly scalable data-intensive systems.
- Proven experience building and deploying applications powered by LLMs, utilizing best practices such as RAG, prompt engineering, agents and working with vector databases.
- A strong foundation in software engineering principles with a demonstrated ability to design, build, and maintain clean, scalable, and testable pure Python-based solutions and internal libraries.
- Hands-on experience with the end-to-end ML lifecycles, and experienced with 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

What you will have:

- Ownership mindset with the ability to lead ambiguous, cross-functional initiatives to measurable outcomes.
- An Innovative and Curious Mindset: You are passionate about staying at the forefront of technology, demonstrating a relentless curiosity for new domains like Generative AI.
- You have an unwavering commitment to quality and reliability. This is demonstrated by your methodical approach to system design, your focus on automation, and your belief that a system is not "done" until it is observable, scalable, and resilient in production.
- You are a natural mentor and technical leader who elevates the entire team. You can clearly articulate complex technical concepts to diverse audiences and thrive in a collaborative environment.

Why Cover Genius?

Cover Genius not only cares about being the best in our industry, we care about our team. We’re a business that understands life can be fluid and so we flex to ensure we provide the environment to suit that. What does that mean?

- Flexible Work Environment - our teams are hybrid. We work from home on Wednesdays and Thursdays and attend the office on Monday, Tuesday and Friday with flexibility around start/finish times.
- Employee Stock Options - we want our people to share in our success, we reward them with ownership for their contribution in creating a world-class company.
- Work with like-minded people who are passionate about both the work we're doing and giving back. Our CG Gives programs enables us to all become philanthropists through our peer recognition and rewards system.
- Social Initiatives - pictures speak a thousand words

Sound interesting? If you think you have the best composition of the above, send us your resume and let's chat

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.

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 and no candidate dispositions are automated. We will keep your information on file for three years from the date of your application. For detailed information about how we handle your data and our use of AI, please review our Privacy Policy.

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