Python Software Engineer (Cybersecurity)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Python Software Engineer (Cybersecurity): Designing and developing large-scale data platforms for real-time threat detection and security intelligence with an accent on Big Data technologies and scalable pipelines. Focus on managing distributed storage systems, implementing parallel data processing, and integrating AI-driven components for anomaly detection.
Location: Hybrid in Bratislava or Prague
Salary: from 2,600 EUR (basic wage)
Company
Global leader in cybersecurity focused on building advanced platforms to combat web security threats.
What you will do
- Develop back-end systems for large-scale data platforms using Python.
- Manage terabytes of data on distributed storage systems like Impala, ScyllaDB, and Apache Druid.
- Implement messaging and streaming solutions using Apache Kafka.
- Process massive datasets in parallel utilizing Apache Spark and Flink.
- Design and maintain scalable data workflows, monitoring, and automation pipelines.
- Integrate AI-driven components, including ML pipelines and model-serving infrastructure.
Requirements
- Proficiency in Python programming.
- Hands-on experience with Docker, Kubernetes, SQL, and RESTful API frameworks (e.g., Flask).
- Expertise with Apache Kafka for messaging and streaming systems.
- Solid understanding of NoSQL databases such as Cassandra, ScyllaDB, Apache Druid, or HBase.
- Knowledge of Linux and Windows operating systems.
- Experience with Git and Jenkins for CI/CD pipelines.
Nice to have
- Experience with Java and C/C++.
- Exposure to AI/ML concepts, LLMs, AI agents, or model serving (FastAPI, Ray Serve).
Culture & Benefits
- Comprehensive health and well-being package including BenefitPlus and Multisport cards.
- Family support via marriage, childbirth, and parental allowances.
- Office perks including refreshments, activity rooms, and regular team-building events.
- Loyalty program providing extra days off and financial allowances.
- Opportunity to work with cutting-edge Big Data technologies on a global scale.
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