R&D Operations - Source Development

Cyberint is a market leader in external cyber risk management, helping organizations to accelerate the detection, response and remediation of external cyber threats.

We protect our customers from cyber threats beyond their perimeter, providing a rich set of external digital Threat Protection solutions, automated or customized . Cyberint serves leading brands worldwide, including Fortune 500 companies, with our proprietary Argos Edge™️ technology enriched by dedicated cyber intelligence analysts.

If you're looking for joining the hot cyber-security market, you are passionate about analyzing problems, perform troubleshooting, and working in a promising startup with a remarkable group of people - your place is with us! We are looking for an R&D Operations Specialist to join our R&D team!

Requirements:

Strong technical/Computer background
Ability to work in a fast-paced iterative, dynamic, matrix environment
Experience with monitoring and visualization tools (Kibana, Grafana, Prometheus, etc.)
Excellent troubleshooting and diagnosis capabilities
Excellent communication skills, learning skills and teamwork spirit
Excellent time management, multitasking, and prioritization skills
Fluent English
"Can do" approach

Responsibilities:

Help organizations improve their cyber resilience by constantly monitoring their digital presence and continuously scanning and analyzing communications in the open, deep and dark web to detect threats.
Collect web intelligence to protect our customers' digital assets, monitor and troubleshoot our crawler services and mitigate and solve production problems.
Working closely with various teams in the company such as the development teams and the cyber team to make sure our company meets its ambitious goals.

Advantage:

Experience in writing Python scripts or in any other scripting language
Experience working with ElasticSearch, MongoDB, Redis
Experience working in Kubernetes, Docker
Understanding HTML/XPATH
Working knowledge in Linux environment
Experience working in a SaaS environment