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ARA • Cologne, North Rhine-Westphalia, Germany
Role & seniority: Quality Assurance Engineer (mid-level with 3+ years in backend QA for distributed/cloud systems)
Stack/tools: Docker, Kubernetes; Terraform, Ansible; CI/CD (Jenkins, CircleCI); AWS, Google Cloud; monitoring/logging tools; languages: Java, Go, Python; IaC and test automation tooling
Design, implement, and maintain CI/CD pipelines to automate testing, deployment, and infrastructure provisioning
Collaborate with software engineers to create and execute backend test plans for distributed database systems; perform automated and manual testing (performance, functional, security)
Develop and manage infrastructure as code, monitor system performance, troubleshoot across stack, and optimize cloud infrastructure
3+ years with containerization (Docker, Kubernetes)
Strong IaC experience (Terraform, Ansible)
3+ years in CI/CD and automation (Jenkins, CircleCI)
Backend testing experience for distributed/cloud systems
3+ years with monitoring/logging tools; programming in Java, Go, or Python
Problem-solving, cross-team collaboration, effective communication
AWS and/or Google Cloud experience
Database testing tools/frameworks
Scripting knowledge (bash, PowerShell)
Location & work type: Cologne area, Germany — hybrid work model; global remote opportunities available in the company’s broader setup
Quality Assurance Engineer About ArangoDB At Arango, we believe the first generation of enterprise AI missed something essential: context. LLM models are powerful, but they don't understand the context needed to deliver accurate answers. Arango provides a trusted data foundation for the next wave of Enterprise AI with graph-based Contextual AI — transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimited scale and cost efficiency. The Arango AI Data Platform gives developers a single, integrated environment to build and scale AI-powered applications without the complexity of stitching together multiple databases and tools. At its core is a massively scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial, and vector search — creating the System of Context, the bridge between enterprise data and LLMs. We’re a global team based in California and Cologne, united by curiosity, collaboration, and a passion for helping developers, data engineers, and technology leaders innovate faster and smarter with AI. Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, and Articul8, Arango powers enterprise AI with context, confidence, and scale. We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. If you’re excited about shaping the future of Contextual AI, come build with us.
Location: Germany, Cologne Area - hybrid Joining ArangoDB means becoming part of a forward-thinking company that is transforming how data is handled across diverse applications while working in an inclusive, growth-oriented team.