At ReversingLabs, our application security and threat intelligence solutions have become essential to advance cybersecurity around the globe. Funded by our recent Series B investment, we’re now on a journey to expand adoption and accelerate growth, as well as to hire top talent across the security industry.
This is a game-changing opportunity. We know every application threatens businesses with new supply chain risks. ReversingLabs is the only company that can dissect any binary at the speed, scale, and explainability to protect the enterprise end-to-end.
Our vision is clear. Arming every company with the insight to ensure that every piece of software built or bought is secure and can be trusted, and that every threat is detected. We are seeking extraordinary talent to help forge this transformational journey at ReversingLabs.
The ReversingLabs TitaniumCloud team is a group of experts responsible for developing and maintaining a distributed system built on a microservice Docker architecture.
Students interested in working on collecting large volumes of data are invited by ReversingLabs to join our Harvesting team.
You will join a team that manages systems for collecting files from various sources, metadata, and network information. The system is based on a microservice architecture, written in the Python programming language, and uses RabbitMQ for message exchange. The team manages over 2,000 Docker containers, which analyze 10 million potential metadata daily and collect over 3 million files.
As a team member, you will have the opportunity to gain additional experience in microservice development, working with highly scalable systems, and managing the quality of collected data, as well as all the tools we use in our daily work.
In our work, we use Python as the programming language, Jenkins for CI/CD, Docker and Kubernetes for containerization, a microservice architecture, message queuing via RabbitMQ and PostgreSQL databases, and Graylog and Clickhouse DB for logging and data analysis. We follow standardized development practices, including code review and a mentoring system.
During studies, working hours are adjusted to your schedule, with at least half of the usual work hours preferred.
Benefits:
We particularly encourage students who are at the beginning of their studies to apply since we offer a long-term student internship.
If you want to learn more, check out our web page #LI-MV1