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Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…
Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.
For 30 years, the incredible minds at
Our product:
Our analytics platform powers our portfolio. Data is growing rapidly and is highly fragmented across different departments, and organizations are looking to adopt open software to keep up with the pace of technology. These market shifts require security organizations to deploy an analytics platform that can connect different solutions from eitheror third parties to effectively develop new capabilities.
As a Cognyter you will:
• Design, develop and deploy microservices and SPA web applications for handling and analyzing mass amounts of data over a distributed environment with a focus on high availability, low latency, and scalability
• Work using Scrum as a part of a friendly team
• Collaborate with Product Owners, Architects, and Software Engineers from several countries on your way to identify and solve challenging problems
• Take part in technical decisions and strategy to further the long-term product vision
• Contribute to the design, architecture and refactoring of the product
• Perform code reviews and mentor junior and mid-level engineers
•
For that mission you’ll need:
• At least 8 years’ hands-on experience in(Spring Framework an advantage) and preferably hands-on frontend development experience inJavaScript React
• Hands-on experience building microservices in cloud (preferably) environments using cloud native technologies (such as:Kubernetes, Docker)
• Experience in designing and implementing large-scale distributed systems using technologies such asApache Kafka, RabbitMQ, or similar
• Experience with both relational (preferably) and NoSQL databases (such as:MongoDB)
• Experience withElasticsearch(an advantage)
• Strong understanding of testing methodologies with a focus on ensuring code quality, reliability, and scalability in production environments
• Familiarity with
AI/MLworkloads execution (an advantage)
• Strong problem-solving skills, a proactive attitude, and the ability to work independently or in a collaborative team environment
• Good interpersonal and communication skills
• Excellent verbal and written proficiency in
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