Wish to work in an innovative, dynamic, start-up environment within a stable global company? Want to develop cutting-edge API security solutions using advanced cloud technologies and tackle a variety of challenges? Check Points new API Security team is growing and looking for a talented Cloud Software Developer! You can be part of designing and creating our next-generation API security solution, a core component of our CloudGuard WAF product. This is an excellent opportunity to join a new team and work with the latest in cloud and security technologies.
Why Join Us?
Be part of a new team in a global, stable company, working in a fast-paced, start-up-like environment.
Shape the future of API securityyour work will have an impact not just on our product but on the industry itself.
Tackle diverse, cutting-edge challenges in API discovery, anomaly detection, sensitive data handling, and more.
Collaborate with passionate colleagues, expand your skills, and grow your career in one of the most exciting domains in cybersecurity.
Key Responsibilities
Develop End-to-End Features: Design and implement secure, high-quality software components for our API security solution in an agile environment.
Cloud Integration: Architect and deploy scalable cloud solutions on AWS, leveraging Kubernetes for container orchestration, designing robust microservices, and integrating big data pipelines for processing security data.
Collaboration: Work closely with cross-functional teams (R&D, Product, QA) to deliver innovative, high-impact solutions.
Data-Driven Solutions: Incorporate data analysis and big data methodologies to identify and mitigate security threats.
Stay Current: Keep up with emerging API security trends and continuously integrate new insights into our product.
Requirements: 3+ Years of relevant Experience
Fast Learner: Comfortable picking up new technologies quickly in a rapidly evolving field.
High-Level Languages: Strong proficiency in Python, Go, or similar languages.
Microservices & Kubernetes: Demonstrated expertise in designing and managing microservices-based architectures using Kubernetes, with a solid foundation in AWS cloud services.
Data Analysis / Big Data: Background or keen interest in handling large datasets and applying data analytics techniques.
Advantages:
Networking Expertise: Experience with API gateways, reverse proxies, Nginx, or similar technologies.
Advanced Data Analysis: Deeper knowledge of data analysis methodologies or frameworks.
Data Science Knowledge: Practical experience or a strong desire to learn and apply data science principles.
Linux, Docker, K8s: Hands-on experience with containerization and orchestration.
HTTP Protocol: Familiarity with HTTP and its security considerations.
Cross-System Architecture: Proven ability to design and implement complex, scalable systems across diverse environments.
C++ Knowledge: Familiarity with low-level programming.
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