Discover newly added software engineering jobs across Germany and remote teams.

Develop a fully managed MongoDB solution based on Juju using Python, deployed on machines, VMs, public cloud and Kubernetes. You will be a key contributor with a significant impact on the product and ecosystem.

Lead the core backend for Terra Quantum's Quantum Key Distribution system, focusing on high-performance Python services on Linux. Own backend architecture, define module boundaries and APIs, and mentor a small team to deliver secure, observable software.

Shape application security in a cloud-native product by collaborating with software engineers to secure design, development, and deployment. Lead security reviews, implement SAST/DAST tooling in CI/CD, manage vulnerabilities, and advise teams on secure solutions across Kubernetes, Docker, and cloud platforms.

Develop and maintain high-performance data-driven systems in distributed infrastructure that impact marketplace performance. Enhance the MLOps platform, establish ML observability, and collaborate with data and software engineering teams to deploy and monitor ML models.

Develop GenAI-based image generation and editing within CGI/Compositing pipelines to produce realistic, consistent, brand-ready visuals. Build prompt frameworks, enhance CGI as a finish layer, and scale workflows with automation.

As Cyber Security Engineer you play a key role in ensuring the security of applications and systems. You are responsible for identifying security risks, conducting security assessments, and developing security solutions to support operations and development teams in implementing more resilient and robust applications.

Establish a trusted data foundation by profiling core datasets and ensuring data quality. Define and maintain a centralized metrics catalog and build governance-ready dbt models to enable self-service BI and AI-ready insights.

As a Full Stack Developer, you will bring the vision for the AI Agent Ecosystem to life across the full stack. You will design an intuitive UI for SMBs and build robust, scalable backend services, collaborating with the product architect and applying cloud-native development practices.

Lead a team of data scientists and ML engineers to deliver credit risk and fraud detection models and drive MLOps. Collaborate with Engineering, Product, Risk, and Finance to align data solutions with business goals.

Define and evolve enterprise analytic model architecture and semantic layers. Lead AI-driven analytics initiatives and optimize AWS-based data pipelines while mentoring analytics engineers.