Backend Engineer (Data Engineering)

Maze

4 months ago

4.3 on Glassdoor

Remote

Full Time

Senior

0 applicants

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About this role

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.

Skills

Qualifications

7+ years of software engineering experience4+ years focused specifically on data engineeringStrong expertise with AWS data services including S3, EMRDeep, hands-on production experience with PythonHands-on experience with Apache Kafka

About Maze

www.mazehq.com

Maze is an innovative security platform focused on vulnerability management that integrates advanced AI capabilities to autonomously assess and remediate cloud vulnerabilities. Unlike traditional systems relying on static rules, Maze utilizes agentic AI for dynamic decision-making, allowing it to effectively prioritize risks and eliminate false positives. Organizations utilize Maze to streamline their security operations, enhancing responsiveness to vulnerabilities and reducing the workload on their security teams. The platform aims to revolutionize vulnerability management by ensuring that critical weaknesses are identified and addressed promptly before attackers can exploit them.