Java software developer Jobs in Dinslaken
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Java software developer • dinslaken
- Gesponsert
DevOps Engineer (m / f / d)
Alphawave GmbHDuisburg, GermanyAusbildung zum IT-Fachinformatiker (m / w / d) Anwendungsentwicklung
schauinsland-reisen gmbhDuisburg, Nordrhein-Westfalen, DESoftware Developer COBOL (m / f / d)
TARGO Technology GmbHDuisburg, Düsseldorf, DeutschlandJava Developer Enterprise Application Integration (EAI) (m / w / d)
it-motiveDuisburg, DESoftware Entwickler / Developer (m / w / d) C#
RZH Rechenzentrum für Heilberufe GmbHWeselEmbedded / Full Stack SW Developer (m,w,d)
MedirionDuisburg, North Rhine-Westphalia, Germany.NET Software Engineer
Noir ConsultingDuisburg (47051), Nordrhein-Westfalen- Gesponsert
Projektmanager (w / m / d)
PSI Software SE - Process Industries & MetalsDuisburgJAVA-Softwareentwickler (m / w / d) Vollzeitstelle
RADAS Jobbörse & Personalvermittlung GmbH47058 Duisburg, Nordrhein-WestfalenWerkstudent Software Test / Qualitätssicherung (m / w / d)
rola Security Solutions GmbHOberhausen, Germany- Gesponsert
Software Developer COBOL (m / f / d)
TARGOBANK AGDuisburg, DE- Gesponsert
.NET Software Developer (m / f / d)
Optimus SearchWesel, Nordrhein-Westfalen, DESenior IT Software Developer / Architect (Hospitality) (m / w / d)
TopgolfOberhausen, DESoftware Developer / DevOps Engineer (m / f / d)
KROHNE GroupDuisburg- Gesponsert
MES Consultant (f / m / d)
PSI Software SEDuisburg.NET Software Engineer
NoirOberhausen, Nordrhein-Westfalen, GermanyBusiness Analyst : in / technische : r Projektleiter : in
LogObject Deutschland GmbHOberhausen, North Rhine-Westphalia, GermanyGerman Business Developer Representative – Google Products
KAMMoers, North Rhine-WestphaliaIT-Entwickler / Developer Java | C | C++ | PHP (m / w / d) bis zu 9.600€ brutto
Astriol academics GmbHDuisburg, DeutschlandBeliebte Suchanfragen
DevOps Engineer (m / f / d)
Alphawave GmbHDuisburg, GermanySalary : 80.000 - 100.000 per year
Requirements :
- Experience : 5+ years in Software Engineering, with at least 3 years focused on DevOps, Release Engineering, or Infrastructure.
- Architectural Mindset : Proven track record of designing and implementing CI / CD workflows from scratch, demonstrating the ability to think strategically about build systems.
- Tech Stack Proficiency : Strong experience with Java programming (Spring / JEE), ecosystems and build tools (Maven / Gradle plugin development).
- Containerization & Orchestration : Deep understanding of Docker and container orchestration (e.g. Kubernetes / OpenShift, Terraform, Ansible).
- CI / CD Tools : Proficiency with Jenkins or alternatives (creating pipelines, managing plugins).
- Artifact Management : Experience administering Nexus or Artifactory.
- GitHub Workflow : Solid workflow knowledge of GitHub (branching strategies, Actions, Hooks).
- Scripting : Competence in scripting (Bash, Python, or Groovy) for automation tasks.
- Operating Systems : Strong working knowledge of Linux environments.
- Education : Bachelors degree in Computer Science, Engineering, or equivalent practical experience.
- Preferred Qualifications : Experience supporting Eclipse IDE setups for development teams; background in the financial sector, specifically with algorithmic trading or futures markets; knowledge in secure virtual networking, cloud / grid-computing, failover / load-balancing strategies and high-availability concepts.
Responsibilities :
More :
We develop technological solutions for algorithmic trading and quantitative investing.
Our mission is to merge data-driven research, advanced software engineering, and a deep understanding of global markets to build trading systems that analyze markets systematically, execute strategies automatically, and manage risk with precision.
At the core of our approach lies a belief that performance in financial markets can be achieved through logic, mathematics, and technology not speculation. Our proprietary systems are designed to identify repeatable market patterns, optimize execution, and adapt to changing conditions in real time.
By combining quantitative models, machine learning, and high-performance computing, we transform complex data into actionable insights. Our teams operate at the intersection of FinTech, research, and applied mathematics, bridging the gap between academic rigor and practical implementation.
We continuously refine our strategies through extensive backtesting, real-time validation, and iterative optimization. This ensures that every line of code and every model we deploy contributes directly to consistent, measurable performance independent of market cycles or volatility.
Investors and partners choose us because we make complex markets understandable, automate what others still do manually, and translate innovation into tangible results.
Our culture is built on precision, transparency, and intellectual curiosity. We believe in systematic thinking, open collaboration, and a relentless pursuit of improvement because in the world of quantitative finance, every detail counts.
last updated 52 week of 2025