Backend Engineer - Threat Intelligence

Cyberint: Pioneering the Future of Cybersecurity

At Cyberint, we're not just a leading cybersecurity company; we're innovators at the crossroads of Threat Intelligence and Attack Surface Management. Our mission is to arm organizations, including Fortune 500 leaders across major industries, with unparalleled insights into their external risk landscape. Through a comprehensive suite of external digital Threat Protection solutions, both automated and customized, we shield our customers from cyber threats lurking beyond their perimeters.

Join Our Threat Intelligence R&D Team

We're on the lookout for a sharp, professional, and dedicated Backend Engineer to bolster our talented Threat Intelligence R&D team. If you thrive on tackling complex challenges with creativity and cutting-edge technology, you belong with us.

Responsibilities:

Your Role and Impact

As a pivotal member of our team, you will drive Cyberint toward its ambitious engineering goals, collaborating extensively across the organization with teams from Product Development to Security Research and Analysts. Your role will span the full software development lifecycle, encompassing design, architecture, and production deployment. This position demands a blend of robust development skills and technical problem-solving prowess.

Key Responsibilities

• Spearhead end-to-end development of software components, from initial design through to architecture and production deployment
• Collaborate closely with cross-functional teams, including Product Managers, Security Researchers, and Analysts, to achieve seamless integration and alignment with company objectives
• Employ state-of-the-art technologies to enhance our Threat Intelligence solutions, ensuring scalability, reliability, and effectiveness
  
  

• 3-5 years' experience in developing complex backend systems
• At least 2 years' proficiency in Python (production environment)
• Demonstrated ability to produce high-performance, maintainable, and reusable code
• Knowledge in high-level design and architectural practices
• Proficiency with cloud technologies and services, such as AWS (EC2, S3, Lambda, Streaming, EMR, EKS)
• Experience with ElasticSearch, MongoDB, Redis, and relational DB's
• Skilled in Kubernetes and Docker
• Agile methodology practitioner
• Experience in a Production SaaS environment
• Knowledge in building web applications using FastAPI
  
  

• SaaS Web Application
• AWS cloud
• Kubernetes & Microservices architecture
• Databases – MySQL, ElasticSearch, Redis, MongoDB, Kafka
• Monitoring tools – Prometheus, Grafana, Kibana etc…
• & more…
  
  

• Familiarity with web scraper technologies and methodologies
• Proven track record in identifying and troubleshooting performance and scalability bottlenecks within a distributed ecosystem running thousands of microservices
• Strong command of Linux environments