05.11.2025 aktualisiert
nicht verfügbar
Software Engineer / Architect / Quant Dev (Java/Kotlin//Kafka Streams/Python/Kubernetes))
Zeuthen, Deutschland
Zeuthen +50 km
Skills
JavaAmazon Web ServicesArchitekturAutomatisierungMicrosoft AzureDevopsSpring FrameworkPythonKnowledge ManagementSystementwicklungs-LebenszyklusWorkflowsGenerative AIKotlinApache KafkaTerraformProgramming Languages
12+ years of practical experience as software engineer/architect.
Programming languages: Java, Kotlin, Python.
Clouds: experience with AWS, GCP, Azure; Kubernetes, Infrastructure-as-a-Service (Terraform).
Particular interests: Algorithmic trading, AML/CFT, Event-driven architectures built on Kafka (Kafka Streams), Generative AI (practical applications for knowledge management/automation of SDLC, RAG, agentic workflows).
Programming languages: Java, Kotlin, Python.
Clouds: experience with AWS, GCP, Azure; Kubernetes, Infrastructure-as-a-Service (Terraform).
Particular interests: Algorithmic trading, AML/CFT, Event-driven architectures built on Kafka (Kafka Streams), Generative AI (practical applications for knowledge management/automation of SDLC, RAG, agentic workflows).
Sprachen
DeutschgutEnglischverhandlungssicher
Projekthistorie
- Developed implementation specifications as a part of system design documents of Digital-map components for autonomous train driving in scope of European Railway Joint Undertaking projects (document link), also led the development of the prototypes for the system using Python, OPC UA.
- Introduced Generative AI solutions for knowledge management and improving of specifications assessment. Tech stack: Locally deployed LLMs, Python
- Delivered systems for near-real-time visualization of railway and rolling stock, and infrastructure data distribution of ERJU (European Railway Joint Undertaking) project. Tech stack: Java, Rust, ElasticSearch, MQTT, Docker
- Conducted audits of software deliverables, identifying potential risks and improvement opportunities. Tech stack: Scala, Java, Azure Cloud, Azure DevOps
- Implemented best practices in software engineering, including contribution guidelines and testing approaches.
Division: Corporate and Investment Banking
Buliding EDW (Enterprise Data Warehouse) for next generation of DB Coroprate Banking product
Cloud migration: getting on-premises data to the Cloud
Building data pipelines and infrastructure setup for the magic mentioned above to happen
Buliding EDW (Enterprise Data Warehouse) for next generation of DB Coroprate Banking product
Cloud migration: getting on-premises data to the Cloud
Building data pipelines and infrastructure setup for the magic mentioned above to happen
Division: Ambidexter GmbH, mobile loyalty wallet Yunar
Responsibilities:
Designing, implementing and operating solutions for YUNAR fintech platform.
Fields: anti-money laundering, data privacy and loyalty programs.
Toolset: Kubernetes, Azure (Data Factory, Cloud Functions, Azure ML), Terraform, Kotlin, Python,
Node.JS, Gitlab CI/CD
Responsibilities:
Designing, implementing and operating solutions for YUNAR fintech platform.
Fields: anti-money laundering, data privacy and loyalty programs.
Toolset: Kubernetes, Azure (Data Factory, Cloud Functions, Azure ML), Terraform, Kotlin, Python,
Node.JS, Gitlab CI/CD