Our engineering team is at the core of how modern data security is built. We are redefining how organizations understand and protect their most sensitive data in a world of growing scale, speed, and complexity. By combining high-performance systems with intelligent, AI-driven capabilities, we challenge traditional approaches and push the boundaries of what data classification can achieve.
Were looking for engineers who thrive in open-ended environments, are energized by hard problems, and are motivated to build solutions that dont yet exist. This role is about more than writing code. Its about shaping how intelligent systems detect, interpret, and protect data across cloud and endpoint environments.
In this role, you will play a central part in designing and building a core classification engine that powers multiple security solutions across the platform. Your work will directly influence how different products identify risk, enforce protection, and operate at scale. Youll work at the intersection of large-scale systems and applied AI, turning raw signals into accurate, reliable insights that help customers secure their data with confidence.
Key Responsibilities
Build and scale AI-driven data classification and detection capabilities for next-generation data security products.
Design systems that identify, classify, and protect sensitive data in real time across cloud and endpoint environments.
Lead technical design discussions and influence architecture for large-scale data processing systems.
Partner with product, infrastructure, and other engineering teams to deliver tightly integrated solutions.
Solve complex engineering challenges related to scale, performance, reliability, and operations.
Raise the technical and collaborative bar by mentoring, sharing knowledge, and improving team practices.
Proactively suggest ideas, lead initiatives, and drive continuous improvement across the product and engineering processes.
Requirements: 5+ years of professional experience as a Software Engineer.
BSc degree in Computer Science, or equivalent background.
Proven ability to design and deliver complex systems end-to-end.
Strong algorithmic thinking, including the ability to design efficient solutions under real-world constraints such as scale, latency, and resource usage.
Familiarity with CI/CD pipelines and cloud infrastructure.
Ability to make things work beyond writing good code - hands-on, practical, and execution-oriented.
Strong ownership, communication skills, and a proactive mindset.
Preferred Qualifications
Professional experience with Rust - a significant advantage, though willingness to work in Rust is also relevant.
Experience integrating AI/ML models into production systems, with a focus on performance, scalability, and reliability.
Python or Go experience in a large-scale cloud environment.
Experience with applications running remotely at scale.
Familiarity with cyber technologies, information security, software security, or related domains.
This position is open to all candidates.