Cognyte
Cognyte
Cognyte қауіпсіздік пен қатерлерге ден қоюға бағытталған мемлекеттік органдар мен басқа да ұйымдарға арналған тергеу аналитикасы бағдарламалық жасақтамасын әзірлейді. Оның ашық аналитика платформасы шешім қабылдау, желі, операциялық және қатерлер туралы барлау деректерін біріктіріп, командаларға әртүрлі ақпарат көздерін байланыстыруға, тергеулерді жеделдетуге және тәуекелдерді анықтап, азайтуға көмектеседі. Нарықтағы отыз жылдық тәжірибесі және 100-ден астам елдегі клиенттері бар Cognyte ұлттық қауіпсіздік пен кең ауқымды қауіпсіздік операцияларындағы тергеу жұмыстарына қолдау көрсетеді.

Senior Back-End Engineer, Cognyte (Hybrid, Bulgaria)

Build Java microservices for Cognyte’s distributed analytics platform, designing scalable data systems and supporting engineering colleagues. This senior role is based in Bulgaria with a hybrid work arrangement.

Сипаттама

  • Build and deploy microservices that process and analyze large datasets across distributed environments.
  • Design systems for high availability, low latency, and scalability.
  • Contribute within a collaborative team using Scrum.
  • Work with product owners, architects, and software engineers across countries to solve complex problems.
  • Help shape technical decisions and strategy in support of the product’s long-term direction.
  • Contribute to product design, architecture, and code refactoring.
  • Review code contributed by other engineers.
  • Mentor junior and mid-level engineers.

Талаптар

  • Bring at least eight years of hands-on Java development experience; Spring Framework experience is an advantage.
  • Have hands-on experience building cloud microservices with native technologies such as Kubernetes and Docker, preferably on GCP, AWS, or Azure.
  • Use AI tools effectively to improve development speed and quality.
  • Have experience designing and implementing large distributed systems with Apache Kafka, RabbitMQ, or similar technologies.
  • Bring experience with relational databases, preferably PostgreSQL or MySQL.
  • Have experience with NoSQL databases such as MongoDB.
  • Bring Elasticsearch experience; this is an advantage.
  • Understand testing approaches that support code quality, reliability, and scalability in production.
  • Have familiarity with running AI/ML workloads; this is an advantage.
  • Be fluent in English.
  • Bring a naturally curious mindset.

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