16.10.2025 aktualisiert

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100 % verfügbar

Senior Real-Time Systems Engineer | FinTech Infras

Bremerhaven, Deutschland
Deutschland
Bremerhaven, Deutschland
Deutschland

Skills

JavascriptAmazon Web ServicesData AnalysisArchitekturDatenbankenInformation EngineeringDatensystemeDevopsElasticsearchFinanzenPythonMachine LearningCloud-ServicesPrometheusHandelSystemarchitekturTypescriptWebsocketEchtzeitsystemeFeature-EngineeringGrafanaFastapiKubernetesApache KafkaFintechTerraformCrypto CurrencyDockerMicroservices
Primary Skills
- Python Development
- Real-Time Systems
- Financial Data Processing
- System Architecture
- Performance Optimization
- FastAPI, RestAPI, Websocket stability
- Specialized on Crypto currency

  Secondary Skills & Techstack
- Kubernetes & Docker
- ClickHouse Database
- Apache Kafka
- Microservices Architecture
- Observation (e.g. Prometheus/Grafana, Elasticsearch etc.)
- Terraform, Helm
- Security

  Additional Skills
- TypeScript/JavaScript
- AWS Cloud Services
- Data Engineering
- Machine Learning Pipelines (including feature engineering
- DevOps

  Industry Expertise
- FinTech & Trading
- Cryptocurrency Exchanges  
- Real-Time Analytics
- High-Frequency Trading
- Market Data Systems
- General Data-Pipelines 

Sprachen

DeutschMutterspracheEnglischverhandlungssicher

Projekthistorie

Senior Technical Architect - Real-Time Trading Infrastructure

Cryptocurrency Trading Platform

Banken und Finanzdienstleistungen

< 10 Mitarbeiter

• Designed and implemented enterprise-grade real-time trading data infrastructure
• Architected microservices system processing 500+ messages/second with sub-second latency
• Achieved 99.9% uptime and $180k+ annual cost savings through optimization
• Managed multi-exchange integration (Binance, Bybit, Bitget, OKX)
• Implemented ClickHouse optimization and Kafka data pipelines
• Established comprehensive monitoring with Prometheus/Grafana
• Technologies: Python, Kubernetes, ClickHouse, Kafka, Docker

Portfolio

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System Architecture

Enterprise microservices architecture achieving sub-second latency and 99.9% uptime through fault-tolerant design and auto-scaling.
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Technology Stack

Modern tech stack leveraging Python, Kubernetes, ClickHouse, and Kafka for high-performance real-time data processing.
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Data Flow

Optimized data pipeline processing 500+ messages/second with comprehensive monitoring and quality assurance.
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Deployment

Cloud-native Kubernetes deployment with auto-scaling, health monitoring, and zero-downtime deployments.
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Monitoring

Enterprise monitoring stack providing real-time insights, SLA tracking, and proactive alerting capabilities.
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Circuit Breaker

Fault tolerance implementation preventing cascading failures and ensuring system resilience under load.
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Performance Improve

Transformation results: 5x latency improvement, 99.9% uptime, and $180k+ annual cost savings achieved.

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