Cognyte

1 001 – 5 000 Xodimlar

Cognyte xavfsizlik va tahdidlarga javob berishga e’tibor qaratadigan davlat idoralari hamda boshqa tashkilotlar uchun tergov tahlili dasturiy ta’minotini ishlab chiqadi. Uning ochiq tahlil platformasi qarorlar, tarmoqlar, operatsiyalar va tahdidlar haqidagi razvedka ma’lumotlarini birlashtirib, jamoalarga turli manbalardagi axborotni bog‘lash, tergovlarni tezlashtirish hamda xatarlarni aniqlash yoki kamaytirishga yordam beradi. Bozorda o‘ttiz yillik tajribaga va 100 dan ortiq mamlakatlardagi mijozlarga ega Cognyte milliy xavfsizlik hamda kengroq xavfsizlik operatsiyalaridagi tergov ishlarini qo‘llab-quvvatlaydi.

Kompaniyadagi ish o‘rinlari

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.

2 hafta oldin

Bolgariya Gibrid To‘liq stavka Senior Talab Qilinadigan Til: inglizcha Backend muhandisi Dasturiy ta’minot muhandisi

Apache AWS Azure Bulut Docker Elasticsearch Google Cloud Platform Java Kafka Kubernetes Mikroservislar MongoDB MySQL NoSQL Postgres RabbitMQ Spring Taqsimlangan tizimlar

Tavsif

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.

Talablar

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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