Reliability engineer Jobs in Moers
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Reliability engineer • moers
- Gesponsert
DevOps Engineer (m / f / d)
Alphawave GmbHDuisburg, Germany.NET Software Engineer
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Stryker European Operations Limited - Dutch Branch OfficeDuisburg, GermanyBeliebte 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 1 week of 2026