oday’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 nearly 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends and help make the world a safer place with leading investigative analytics software solutions.

We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.

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 either Cognyte or third parties to effectively develop new capabilities.

Although you have a strong passion for Java and JavaScript, you are an open-minded, tech-savvy developer who is enthusiastic about learning and working with a variety of technologies.

As a Cognyter you will:

• Design, develop and deploy microservices 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 Java (Spring Framework an advantage)
• Hands-on experience building microservices in cloud (preferably GCP/AWS/Azure) environments using cloud native technologies (such as: Kubernetes, Docker).
• Experience in designing and implementing large-scale distributed systems using technologies such as Apache Kafka, RabbitMQ, or similar.
• Experience with both relational (preferably PostgreSQL/MySQL) and NoSQL databases (such as: MongoDB).
• Experience with Elasticsearch (an advantage).
• Strong understanding of testing methodologies with a focus on ensuring code quality, reliability, and scalability in production environments.
• Familiarity with AI/ML workloads execution (an advantage).