Junior Software Engineer developing high-performance data feeds at Deutsche Börse Group. Collaborating on software solutions for real-time market data and analytics in a hybrid environment.
Responsibilities
Develop technical concepts based on functional requirements in the area of market data distribution
Framework-based software development in application development and infrastructure (Infrastructure as Code)
Analyze requirements from strategic Data Analytics initiatives and derive and implement the identified requirements based on existing platforms and processes
Plan, design, and implement scalable, high-performance backend solutions for low-latency event-driven messaging as well as Big Data applications
Create, execute, and automate product tests for quality assurance and provide technical support for additional functional testing phases
Requirements
Degree in Computer Science, Technical Computer Science, or Software Engineering
Strong analytical skills, quick comprehension, and a high willingness to learn
Solid knowledge of computer systems, software architectures, data structures, automation, and programming, plus professional experience in software development—ideally in the financial services sector
Good knowledge of C++ on Linux, and experience with inter-process communication, distributed systems, databases, and protocols (TCP/IP, UDP/Multicast, MySQL, AMQP, NATS, Kafka, MQTT)
Basic knowledge of cloud technologies or experience with at least one cloud platform (GCP or Azure) is an advantage
Confident handling of application containerization such as Docker/Kubernetes (microservices)
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