Backend Engineer - Discovery

About IONIX

IONIX is the attack surface management solution that uses Connective Intelligence to shine a spotlight on exploitable risks across your real attack surface and its digital supply chain. Only IONIX discovers and monitors every internet-facing asset and connection, delivers laser focus into the most important risks to your business, and provides the tools to rapidly remediate exploitable threats and reduce attack surface risk. Global leaders including Infosys, Warner Music Group, The Telegraph, and E. ON depend on IONIX’s machine learning-powered discovery engine, contextual risk assessment and prioritization, and end-to-end remediation workflow to go on the offensive in managing their complex and ever-changing attack surfaces.

What we’re looking for

IONIX is looking for a talented Backend Engineer to join its Tel-Aviv office and the growing R&D team, developing new features and capabilities in our SaaS product.

What You’ll Be Doing

• Take part in developing the world’s leading Attack Surface Management solution.
• Address security, scalability, and performance challenges.
• Work closely with other team members and different teams within the R&D org.
• End-to-end ownership of features, from design through development and deployment.
• Take part in uncovering and resolving critical vulnerabilities for enterprise-level companies.
• Develop and maintain a cutting-edge cloud service following the market’s highest standards.
  
  

• 6+ years of hands-on backend development experience with large-scale, production-grade systems.
• Expertise in Python with proven experience (this is a must).
• A collaborative mindset and the ability to thrive in a fast-paced environment.
• Experience with cloud environments like Azure, AWS, or GCP.
• Familiarity with SaaS, serverless solutions, and microservice architecture.
• Skills in data flow pipeline design/implementation or knowledge of data engineering.
• Experience working closely with Data Analysts and understanding their needs.
• Strong coding skills and a solid grasp of large-scale architecture and design patterns.
• Experience with building production-grade ML mechanisms.
• A passion for tackling challenging legacy systems, transforming undocumented or hard-to-maintain code into clean, maintainable solutions.
• A passion for web security technologies and a deep understanding of network protocols (advantageous).
• A Bachelor’s degree in Computer Science/Engineering or equivalent experience.