Find Software Engineering Jobs

Provide Level 2 technical support with direct customer contact and maintain monitoring, logging, and alerting solutions (Prometheus, Grafana, Loki) to proactively detect issues in a 24/7 shift. Build and operate highly available services on Linux and Kubernetes, implement Infrastructure as Code, automation, and playbooks using Ansible, Terraform, GitLab CI/CD, Argo CD, and scripting with Bash, Python, and Go.

Lead design and implementation of new microservices in a Go backend and improve system reliability. Unify API variants across services and collaborate with cross-functional teams.

Plan, implement, migrate and operate distributed, highly available services on Linux and Kubernetes. Improve the stack from hardware to the application, including configuration management and monitoring; develop Kubernetes operators; support automation for deployments.

Design and train multi-modal foundation models for embodied robotics. Develop AI-driven control policies for manipulation and motion planning; optimize distributed training and build scalable data pipelines.

Coordinate AI initiatives across product lines, maintain the AI Knowledge Base and roadmap, and train teams to use AI effectively. Define best practices, standardize AI outputs, and manage the central prompt library.

Lead architecture discussions with clients and internal teams to define approaches for customized omnichannel solutions. Develop and test code across the full stack in an agile Scrum environment.

Design, develop, and maintain the cloud DBaaS platform; contribute to new features, fixes, and performance optimizations. Write clean Go or Bash code and develop automated tests.

Develop customer-specific POS solutions for leading retailers in the German-speaking region and enhance the internal retail platform. Work in an agile Scrum team, collaborating with the PO, backend and cloud engineers, and testers across Germany and Portugal on new requirements.

Build tools to scale generative performance marketing to thousands of small businesses. Take full ownership of projects from conception to launch and collaborate with users to turn insights into features.

Design, integrate, and operate robotic systems using ML models under real-world constraints such as latency and safety. Collaborate with ML researchers to ensure reliable, real-world performance of AI-driven robotics.