Cover Genius

600 Total Employees
Year Founded: 2014

Similar Companies Hiring

Cloud • HR Tech • Productivity • Software
5 Offices
1400 Employees
Sales • Software • Travel
6 Offices
860 Employees
Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
5 Offices
1200 Employees
Jobs at Cover Genius

Search the 4 jobs at Cover Genius

Recently posted jobs

10 Days Ago
Sydney, New South Wales, AUS
Hybrid
eCommerce • Fintech • Information Technology • Insurance • Software
As a Product Owner for the Content Management System, you will manage the product backlog, prioritize tasks, and liaise with development teams and stakeholders to deliver customer-centric solutions. You will refine user stories, conduct sprint planning, and ensure compliance with regulatory changes while tracking product performance and collaborating with cross-functional teams.
10 Days Ago
Sydney, New South Wales, AUS
Hybrid
eCommerce • Fintech • Information Technology • Insurance • Software
Design, develop, test, and optimize software products while collaborating on product requirements. Mentor junior engineers, manage deliverables, and lead technical projects within a fast-growing team.
11 Days Ago
Sydney, New South Wales, AUS
Hybrid
eCommerce • Fintech • Information Technology • Insurance • Software
As a Senior Frontend Engineer, you will develop reusable web components, synchronize design tokens from Figma, set up QA and release automation in GitLab, and collaborate with design and product teams to streamline workflows and optimize components for performance and accessibility.
23 Days Ago
Sydney, New South Wales, AUS
Hybrid
eCommerce • Fintech • Information Technology • Insurance • Software
As a Data Engineer, you will be responsible for developing and maintaining data pipelines and infrastructure for analytics and reporting. You will collaborate with data scientists and engineers to ensure data availability and accuracy, using SQL and Python in cloud environments. Key tasks include operating the data platform, troubleshooting issues, and supporting machine learning and analytics needs.