AI Applications Team Leader
Posted Jun 15 · 76 applicants
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The role in plain words
This role involves leading a development team to build and manage AI applications and platforms that consolidate complex data for investigative analytics. You will own the strategic roadmap, mentor team members, and collaborate with AI Data Science and Product teams to deliver software tools. Additionally, you will lead new projects from scratch while maintaining and improving existing large-scale distributed systems.
- 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)
- BSc in Software Engineering, or equivalent
Extracted from the job description · kept up to date automatically
Who this suits
This role suits an experienced leader with at least 5 years of team leadership experience and 8 years of hands-on Java development experience, particularly in building cloud-native microservices and distributed systems. It is less ideal for junior developers or those without experience managing high-performance engineering teams.
Full job description
Original listing · kept for referenceToday’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
. For this mission, you’ll nee
• d:At least 5 years' experience leading high-performance team
• s.At least 8 years’ hands-on development experience in Jav
• a.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 simila
• r.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 stabilit
• y.Good interpersonal and communication skills (working with global teams – an advantage
• ).BSc in Software Engineering, or equivalent (an advantage
).
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 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)