Backend Engineer, Maze

Data Engineering

€100-160k

Salary based in Europe and may vary in further locations. + 0.15% – 0.35% Equity

SQL

AWS

Python

Scala

Java

Kafka

Airflow

Redshift

Spark

Senior and Expert level

Remote from Europe, UK

Agentic AI for vulnerability management

Be an early applicant

Agentic AI for vulnerability management

1-20 employees

B2BArtificial IntelligenceSecurityEnterprise

Be an early applicant

€100-160k

Salary based in Europe and may vary in further locations. + 0.15% – 0.35% Equity

SQL

AWS

Python

Scala

Java

Kafka

Airflow

Redshift

Spark

Senior and Expert level

Remote from Europe, UK

1-20 employees

B2BArtificial IntelligenceSecurityEnterprise

Company mission

We're working on a product that we believe will be truly game-changing for security teams.

Job

Company

Role

Who you are

Extensive Experience: 7+ years of experience in software engineering with at least 4+ years focused on data engineering
Data Processing Mastery: Strong experience with data processing frameworks (e.g., Spark, Kafka, Airflow), ETL workflows, and data modeling
Database Expertise: Proficiency with both SQL and NoSQL databases, with experience optimizing queries and database performance
Cloud Experience: Familiarity with cloud data services (e.g., AWS Redshift, S3, Glue, EMR) and DevOps practices, including CI/CD for data pipelines
Programming Skills: Strong coding abilities in Python, Java, or Scala with experience in data manipulation libraries
Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering robust and scalable data solutions
Collaborative Spirit: Excellent communication skills and the ability to work effectively in a cross-functional team
Agility and Adaptability: Comfort working in a fast-paced startup environment with the ability to pivot and adapt as needed

What the job involves

As a Data Engineer at Maze, you'll play a pivotal role in shaping our data infrastructure and pipeline development
You will have the unique opportunity to design, build, and scale robust data systems from the ground up, influencing everything from architecture decisions to data processing workflows
This is an exciting chance to be at the core of our technical team, driving innovation in how we collect, process, and utilize data to enhance our cybersecurity solutions
Data Pipeline Development: Design, implement, and maintain scalable data pipelines that process large volumes of security data efficiently
Data Architecture: Architect and develop backend data systems, ensuring they are scalable, maintainable, and secure
End-to-End Data Ownership: Take ownership of the entire data lifecycle, from ingestion and storage to processing and visualization
Cross-functional Collaboration: Work closely with other engineers, data scientists, and product managers to ensure data systems support product features and analytical needs
Optimize for Performance: Continuously monitor and improve data processing performance, security, and scalability
Establish Data Best Practices: Define and enforce data quality standards, processing methodologies, and documentation to maintain high-quality data systems
Rapid Prototyping: Quickly prototype and iterate on new data solutions, adapting to evolving requirements and emerging technologies
Mentor and Lead: As the team grows, mentor junior engineers and lead by example in technical discussions and code reviews related to data systems

Our take

Cybersecurity teams face overwhelming challenges. Though new tools are receiving major investment, many are drowning in noise and struggling to stay ahead of increasingly sophisticated cyber threats. The rise of Generative AI has further escalated this problem, making it easier than ever for attackers to launch advanced, large-scale cyber attacks.

This chaotic environment demands a new approach to security, and that's where Maze steps in. The company is building a next-generation security platform that leverages modern AI to revolutionise Vulnerability Management, a critical area where traditional solutions are falling short.

Unlike current tools that rely on pre-defined logic, Maze claims it will make smarter, faster decisions that reduce backlogs and focus resources on the vulnerabilities that truly matter. While it is still yet to launch, its offerings could be game-changing for security teams.

Freddie

Company Specialist at Welcome to the Jungle

Company

Company HQ

London, UK

Leadership

Harry Wetherald

(Co-Founder & CEO)

Previously spent 6 years at Tessian leading Product.

Santiago Castiñeira

(CTO & Co-Founder)

Previously the Lead Software Engineer at Monad and Amazon and CTO at Jungle Robotics.

Adrian Jozwik

(CPO & Co-Founder)

Previously the Director of Product Design at Tessian and a Senior Designer at Elastic, OrangeSprocket, and Nexus/h.

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