Front End Engineer

At Avalor, we are on a mission to help security teams revolutionize how they use their data. Our proprietary Data Fabric technology powers an open data platform that can dynamically ingest, normalize, and enrich data from any source – unlocking actionable insights, end-to-end workflows, and operational efficiencies for security teams.

Today, customers use the Avalor Data Fabric for next-generation Vulnerability Prioritization Technology, overlaying all data related to weaknesses or adversaries with critical business context to achieve informed full cycle risk assessment, remediation, and reporting. But this is just the beginning! Avalor is the critical center of security operations data and with full transparency into their data, security teams can unlock limitless use cases to support their organizational needs.

As part of this mission, we are seeking a Front End Engineer to join our team. In this role, you will play a crucial role in designing, developing, and maintaining Avalor’s user interfaces, ensuring an exceptional user experience.

Responsibilities

• Develop user interfaces using React
• Deliver high quality features for our high-scale web environment
• Participate in design from scratch to production
• Ensure the technical feasibility of UI/UX designs
• Stay up-to-date with emerging front-end technologies and industry trends to make recommendations for continuous improvement
• Integrate with other team members (backend/frontend/product/UX)

Qualifications

• 2+ years of proven experience in frontend development using React
• Ability to thrive in a fast-paced, high-scale web application environment
• Capability to design and develop high-performance, reusable code for UI components
• An enthusiastic self-learner who confidently adopts new technologies, explores innovative solutions, and delivers results effectively
• Demonstrated excellent problem-solving skills and meticulous attention to detail
• Strong communication and collaboration skills
• Quick adaptability and ability to handle context switches efficiently