Job description

Description 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 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. As a Cognyter you will: Direct a team and own the strategic roadmap for our AI applications. Mentor and coach your team, driving every individual toward professional and technical excellence. Build platforms that consolidate complex data to help analysts make critical, real-world decisions. Partner with AI Data Science and Product teams to deliver sophisticated investigative tools. Ensure high-quality standards for software that directly impact global safety and investigative outcomes. Lead new projects from scratch while managing and improving our existing, large-scale systems. Join a team that fears no technology and constantly tests the boundaries of investigative power. Requirements For this mission, you’ll need: At least 5 years' experience leading high-performance teams. At least 8 years’ hands-on development experience in Java. 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 building products integrating AI/ML engines and agentic workflows (hands-on experience - an advantage). Proven experience owning high-velocity production, building resilient systems that ship fast while maintaining absolute stability. Good interpersonal and communication skills (working with global teams – an advantage). BSc in Software Engineering, or equivalent (an advantage).