Why Join Us?

We're building the next generation of XDR and NDR solutions—designed to ingest, analyse, and act upon data from every corner of the enterprise.

By combining Advance AI, cutting-edge big data technologies, real-time processing frameworks, and our industry-leading cybersecurity intelligence, we’re redefining how modern organizations detect, prevent, and respond to cyber threats.

We are looking for a highly driven and experienced senior developer to join our dynamic and experienced Core team. Operating in a start-up-like environment within a global cybersecurity leader, you will play a pivotal role in designing, developing, and delivering high-impact data-driven cybersecurity solutions.

Key Responsibilities

• As a senior data pipeline engineer you will:
• Design and develop scalable core components – Architect and implement robust, high-performance components within our evolving XDR/NDR platform, driving scalability, automation, and operational excellence across a cloud-native ecosystem.
• Deliver production-grade SaaS features at speed – Rapidly develop and deploy secure, enterprise-grade features in a high-scale SaaS environment, ensuring high availability, fault tolerance, and exceptional quality from idea to deployment.
• Lead and contribute to architectural discussions – shaping the technical direction of the platform, through deep engagement in system design, technology evaluations, and strategic decision-making.
• Own infrastructure-level initiatives – building and optimizing cloud-native, high-throughput data pipelines and services that are secure, observable, and scalable by design.
• Ability to work effectively both independently and as part of a collaborative team - contributing individually while thriving in a high-caliber, experienced engineering environment.
  
  

Qualifications

• B.Sc. in Computer Science or a related technical field.
• 3+ years of hands-on experience with Python, with strong software engineering fundamentals, clean coding practices, and a focus on performance and scalability.
• Proven experience in data engineering, ETL development, or large-scale data processing.
• Solid knowledge and real-world experience with NoSQL databases preferably MongoDB and Azure Data Explorer (ADX)—including data modeling and query optimization.
• Strong understanding of cloud-native architectures, distributed systems, and hands-on experience with cloud platforms (preferably Microsoft Azure, though AWS/GCP experience is also valued).
• Ability to navigate and drive progress in complex, cross-functional projects, with a structured, proactive, and ownership-driven approach.
• Familiarity with cybersecurity concepts, data sources, or threat detection frameworks is a significant advantage.