Company Description

Brandefense is a leading SaaS platform that provides innovative solutions for Digital Risk Protection Services, brand protection, External Attack Surface Management, Third-Party Risk Management, and Actionable Threat Intelligence. Our AI-driven technology scans the online world, including the dark web, to deliver actionable intelligence and enhance security posture. With our cutting-edge technology, we aim to protect organizations from cyber threats and safeguard their digital assets.

Responsibilities

• Design, build, and maintain APIs and backend services using Python frameworks such as FastAPI and Flask
• Integrate distributed task queues using Celery and message brokers like RabbitMQ
• Design and optimize database structures with PostgreSQL
• Implement caching strategies using Redis to enhance performance
• Develop and maintain containerized applications with Docker
• Ensure efficient communication between microservices and maintain scalability
• Write clear, scalable, and well-documented code
• Write and maintain unit, integration, and end-to-end tests to ensure code reliability and system stability
• Troubleshoot and resolve backend issues, focusing on high-availability and fault-tolerance
• Participate in code reviews, mentor junior developers, and contribute to improving development processes

Requirements

• 4+ years of experience in backend development
• Proficient in Python with strong knowledge of FastAPI and Flask
• Experience with Celery and message brokers like RabbitMQ
• Strong understanding of relational databases, particularly PostgreSQL
• Experience working with Redis for caching and data management
• Hands-on experience with Docker for containerization
• Familiarity with RESTful API design and development
• Strong problem-solving skills and attention to detail
• Experience with version control systems (Git)
• Ability to collaborate in a team environment and communicate effectively

Nice to Have

• Experience with Golang (Go) for building scalable microservices, REST APIs, or high-performance concurrent applications
• Experience with Kubernetes for container orchestration
• Knowledge of microservice architectures and distributed systems
• Familiarity with CI/CD pipelines and DevOps practices
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)