Ki

About the Company

Ki is a glimpse into the future of risk, redefining what good looks like. It exists to delight brokers and clients. It does this by taking the friction and cost out of placing risk at Lloyd’s of London, by allowing brokers access to an instant underwriting decision, anytime, every time, from anywhere.

Ki uses a proprietary algorithm to underwrite risk, in conjunction with the latest machine learning technology, to make faster, more informed decisions. Built in partnership with Google Cloud and University College London, and backed by Fairfax Financial and Blackstone, Ki redefines the expectations for technology in the market, and harnesses the potential of data. But whilst Ki has a bionic brain, it has a human heart. A wealth of insurance knowledge, expertise and assistance is only a click away.

Risk, simplified.

Listed Jobs

Company Name

Ki

Job Title

Full Stack Engineer

Job Description

**Job title:** Full Stack Engineer **Role Summary:** Develop and maintain robust, scalable web‑ and mobile‑based applications for a high‑growth insurance platform. Work across the modern stack—Kotlin for backend services, Python for data handling, React with TypeScript for rich UIs, PostgreSQL for data storage, and GCP infrastructure defined with Terraform. Operate in an agile, cross‑functional squad delivering high‑impact features. **Expactations:** - Deliver high‑quality, reusable code that meets performance and reliability standards. - Collaborate closely with product, data, and operations teams in an agile environment. - Participate in code reviews, continuous improvement discussions, and value‑driven decision making. - Align with company values of customer focus, growth, and courageous innovation. **Key Responsibilities:** - Design, implement, and maintain backend services using Kotlin. - Build data pipelines and processing components in Python. - Create responsive, functional front‑end interfaces with React and TypeScript. - Manage database schemas and queries in PostgreSQL. - Define and provision cloud resources on GCP via Terraform. - Write unit, integration, and end‑to‑end tests; ensure CI/CD pipeline health. - Diagnose and resolve production incidents; monitor system health. - Contribute to architectural discussions and technical documentation. **Required Skills:** - 3‑5+ years full‑stack development experience. - Proficiency in Kotlin (or Java) and Python. - Strong front‑end skills: React, TypeScript, HTML5, CSS3. - Experience with REST/GraphQL APIs and micro‑service patterns. - PostgreSQL (or comparable relational DB) expertise. - Cloud platform experience, preferably Google Cloud Platform. - Infrastructure‑as‑Code using Terraform. - Familiarity with Docker, Git, CI/CD tools, and agile methodologies. - Excellent problem‑solving and communication abilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience. - Optional: Google Cloud Professional certification or similar cloud credentials.

London, United kingdom

On site

11-11-2025

Company Name

Ki

Job Title

Temporary GCP Data Engineer

Job Description

**Job Title:** Temporary GCP Data Engineer **Role Summary:** Design, develop, and maintain production‑grade data pipelines and reporting solutions on Google Cloud Platform. Collaborate with finance, actuarial, data science, and delivery partners to build scalable, governed data assets. **Expectations:** - Deliver robust, production‑ready data models and pipelines on schedule. - Ensure data quality, governance, and compliance. - Produce clear documentation to support ongoing operations. - Integrate new internal and external data sources to drive business insights. **Key Responsibilities:** - Build and optimize data pipelines and reporting in BigQuery, using dbt, Airbyte, and Dagster. - Develop and maintain data models, dashboards, and BI reports using Tableau Cloud. - Manage data infrastructure in GCP (Cloud Storage, Cloud SQL, BigQuery) and automate provisioning with Terraform. - Create frameworks to govern data assets and enforce quality standards. - Monitor pipeline health, troubleshoot issues, and ensure reliability. - Collaborate with business stakeholders (finance, actuaries), data scientists, and engineering teams. - Coordinate with external partners (EY/IBM) to validate design and implementation. - Document schemas, pipeline designs, and operational procedures. - Participate in Agile ceremonies (Scrum/Kanban) and contribute to iterative improvements. **Required Skills:** - Proven experience designing data models and industrialized data pipelines. - Proficiency in BigQuery, dbt, GCP Cloud Storage, Cloud SQL, and Airbyte. - Strong SQL and Python (data manipulation, automation). - Familiarity with Terraform for infrastructure as code. - Bash or equivalent shell scripting. - Tableau Cloud for data visualization and reporting. - Knowledge of DataOps concepts, Dagster, and MLOps workflows. - Experience in a cloud‑first, data‑centric environment. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent professional experience). - GCP Data Engineer certification (preferred).

London, United kingdom

Hybrid

24-11-2025