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.
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.
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.
This position is open to all candidates.
