Senior Back-end Engineer

Posted Yesterday
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Sofia, Sofia-grad, BGR
Hybrid
Senior level
Artificial Intelligence • Machine Learning • Security • Software • Analytics • Big Data Analytics
Actionable Intelligence for a Safer World
The Role
Design, develop, deploy, and maintain highly available, scalable microservices for a distributed analytics platform. Collaborate with product owners, architects, and international engineering teams; contribute to architecture, technical strategy, refactoring, and code reviews. Mentor junior and mid-level engineers while applying Java, cloud-native technologies, distributed systems, databases, messaging platforms, and testing methodologies to deliver reliable production software.
Summary Generated by Built In
Description

An empty jobToday’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 over 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 product:

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.

We are looking for an exceptional and passionate Senior Backend Engineer to join our Analytics Platform team in Sofia, Bulgaria.

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 
  • Have a strong passion for Java, you are an open-minded, tech-savvy developer who is enthusiastic about learning and working with a variety of technologies
Requirements

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)
  • Strong ability to leverage AI tools to improve development efficiency and quality
  • 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)
  • Fluent English
  • An endlessly curious mind

Skills Required

  • At least 8 years of hands-on experience with Java
  • Experience with Spring Framework
  • Hands-on experience building microservices in cloud environments
  • Experience with GCP, AWS, or Azure
  • Experience with Kubernetes and Docker
  • Ability to leverage AI tools to improve development efficiency and quality
  • Experience designing and implementing large-scale distributed systems
  • Experience with Apache Kafka, RabbitMQ, or similar technologies
  • Experience with relational databases, preferably PostgreSQL or MySQL
  • Experience with NoSQL databases, such as MongoDB
  • Experience with Elasticsearch
  • Strong understanding of testing methodologies and production code quality, reliability, and scalability
  • Familiarity with AI/ML workload execution
  • Fluent English
  • Curiosity and enthusiasm for learning varied technologies

Cognyte Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cognyte and has not been reviewed or approved by Cognyte.

  • Healthcare Strength — Health coverage spans medical, dental, vision, disability, life insurance, mental‑health support, and FSA options. Coverage is generally portrayed as solid within a well‑rounded package.
  • Leave & Time Off Breadth — Time off includes generous PTO, paid holidays, floating holidays, wellness days, and paid volunteer time. These elements indicate a comprehensive time‑off offering.
  • Wellbeing & Lifestyle Benefits — Work setup includes flexible schedules and hybrid/remote options highlighted across public materials. Flexibility is emphasized alongside the core benefits offering.

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The Company
HQ: Herzliya
1,600 Employees
Year Founded: 2021

What We Do

Cognyte is a leading software-driven technology company focused on solutions for data processing and investigative analytics that allow customers to generate Actionable Intelligence for a Safer World™. We empower law enforcement, national security, national and military intelligence agencies, and other organizations to navigate an increasingly complex threat landscape with greater speed, accuracy, and precision.

Why Work With Us

Driven by curiosity and a purpose with real-world impact, we place innovation at the core as we tackle complex, fascinating challenges where bold questions forge real breakthroughs.

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