Data has never been more valuable and vulnerable. As cybercriminals become more sophisticated and regulations more strict, organizations struggle to answer one key question: Is my data safe?
At our company, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. Weve built the industrys first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort.
At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Key Responsibilities:
Design and implement scalable data processing pipelines using Azure Databricks and other modern data platforms to power real-time analytics and insights.
Push boundaries by pioneering new technologies and stretching existing ones to their limitsbe a trailblazer in data innovation.
Design, build, and maintain scalable data processing and analytics infrastructure and pipelines, optimizing for performance and cost efficiency.
Collaborate cross-functionally with software engineering, product, and research teams to understand data needs and ensure data solutions meet business requirements.
Engage with strategic customers, ensuring our data solutions meet high standards and deliver measurable value in real-world environments.
Requirements: 5+ years of hands-on experience in software development, with strong proficiency in C# or Java
Proficiency in Python, SQL, PySpark (advantage).
Understanding of microservice architecture (advantage).
Familiarity with Kubernetes (advantage).
Experience with cloud and technologies such as Databricks (Apache Spark) (advantage).
Strong analytical mindset, excellent problem-solving skills, and a drive to turn complexity into clarity.
Excellent communication and collaboration skills, with the ability to work independently and adapt quickly in a dynamic environment.
Demonstrated ability to lead and deliver end-to-end data solutions, integrating across teams and driving execution to completion.
This position is open to all candidates.