Full Stack Engineer

About Us:

At Ray Security, we’re redefining how enterprises protect their data. Our predictive platform forecasts how the data will be used and secures it before risks arise, helping organizations stay ahead in a world where information moves fast.

We’re building a team of innovative, driven, and creative people who want to make a real impact. If you’re excited by tough challenges, love solving problems, and want your work to matter, you’ll feel at home here.

Help us shape the future of data security!

Key Responsibilities:

• Design, develop, and maintain scalable, high-performance web applications using FastAPI, Celery, and Python on the backend, coupled with React, Zustand, and Chakra for the frontend.
• Build and manage complex data architectures leveraging MongoDB, Redis, and Elasticsearch, ensuring optimal data retrieval and security.
• Collaborate closely with AI/ML teams to integrate predictive models into our systems, enhancing cybersecurity measures and anomaly detection.
• Develop, test, and deploy robust, maintainable code across the full stack, ensuring high performance and responsiveness.
• Work with Docker and Kubernetes to deploy, manage, and scale applications in a large-scale, big data environment.
• Participate in code reviews, mentor junior developers, and contribute to the overall team’s technical growth.
• Engage in ongoing learning to stay current with new technologies and industry trends, particularly in AI and cybersecurity.

Qualifications:

• 5+ years of experience as a Full Stack Engineer, with a strong emphasis on both backend and frontend development.
• Proficiency in Python, with extensive experience in FastAPI, Celery, and working with databases such as MongoDB, Redis, and Elasticsearch.
• Strong experience in frontend development using React, Zustand, and Chakra UI.
• Experience with containerization and orchestration tools like Docker and Kubernetes.
• Previous experience in a startup environment, particularly in cybersecurity, is highly preferred.
• Strong understanding of large-scale data processing and big data technologies.
• Experience integrating AI and predictive models into production environments is a plus.
• Excellent problem-solving skills, with a focus on writing clean, maintainable, and efficient code.
• Strong communication and teamwork skills, with the ability to work effectively in a remote or distributed team environment.

Preferred Qualifications:

• Experience working on cybersecurity solutions or products.
• Familiarity with large-scale, real-time data processing systems and anomaly detection.
• Background in AI/ML, particularly in the context of cybersecurity or predictive analytics.