Senior Backend Engineer

About Us:

At Ray Security, we’re redefining how enterprises protect their data. Our predictive platform forecasts which 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.

Come help us shape the future of data security!

• Lead the design, development, and optimization of backend services using Python, FastAPI, and Celery, ensuring they are scalable, secure, and efficient.
• Architect and implement data storage solutions using MongoDB, Redis, and Elasticsearch, tailored to handle large-scale, big data challenges.
• Collaborate with AI/ML teams to integrate predictive models into backend systems, enabling real-time anomaly detection and cybersecurity threat mitigation.
• Develop and maintain robust APIs, microservices, and backend components that support the frontend and various third-party integrations.
• Utilize Kubernetes and Docker for containerization and orchestration of services, ensuring high availability and scalability in a distributed environment.
• Contribute to the technical direction of the backend team, mentoring junior engineers, and leading code reviews.
• Stay up-to-date with the latest trends in backend development, AI integration, and cybersecurity best practices, applying them to ongoing projects.

• 5+ years of experience as a Backend Engineer, with a strong focus on Python and related technologies.
• Expertise in FastAPI, Celery, and experience working with databases such as MongoDB, Redis, and Elasticsearch.
• Solid experience with containerization and orchestration tools like Docker and Kubernetes in production environments.
• Proven experience in developing and deploying large-scale, high-performance backend systems.
• Previous experience in a cybersecurity-focused role or industry is highly preferred.
• Strong understanding of AI/ML concepts and experience integrating predictive models into backend systems is a plus.
• Excellent problem-solving skills, with a focus on scalability, security, and performance optimization.
• Strong communication skills, with the ability to work effectively in a collaborative, remote team environment.

• Experience in a startup environment, particularly within the cybersecurity sector.
• Knowledge of large-scale, real-time data processing systems and familiarity with cybersecurity tools and methodologies.
• Background in AI/ML, especially in developing and deploying models for cybersecurity applications.