Maze
As a Backend Engineer (Data Engineering) at Maze, you will lead the design and implementation of robust data pipelines and infrastructures that process vast amounts of security data, focusing on the complete data lifecycle from ingestion to transformation. You will work with technologies like Python, Apache Kafka, Apache Spark, and AWS services to ensure system reliability and scalability as the company grows. This role demands a strong software engineering background, with experience in building and optimizing production-grade data systems, particularly in environments dealing with massive datasets. You will collaborate closely with cross-functional teams to support AI capabilities aimed at enhancing cybersecurity efforts.
Headquarters
London, England, United Kingdom
Company Size
1-10 employees
Founded
2024
Maze is an AI-powered security platform built to secure both code and cloud environments. It uses AI agents to investigate, triage, and remediate vulnerabilities across cloud infrastructure, third-party dependencies (AI-SCA), and custom application code (AI-SAST), focusing engineers on what is truly exploitable rather than noise. Maze replaces pre-defined static logic with modern AI-driven decision-making, enabling organizations to find and fix critical vulnerabilities faster and at scale.
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Maze.
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