• You enhance our payment software solutions by integrating payment service providers (PSP) as part of a cross-functional team • You develop the payment domain of our market-leading B2B fitness SaaS platform in close cooperation with product management and the developer team using JVM technologies and frameworks like Spring Boot. • You create high-quality software components in an agile environment and contribute your ideas within flat hierarchies • You develop and enhance resilient, maintainable microservices in an agile and autonomous environment and its integration with our SaaS platform

• Collaborate with engineering leadership, architects, product management, and cross-functional teams to define technical direction and feature priorities. • Design and implement scalable, cloud-native microservices and REST APIs using Python, FastAPI, and Celery. • Build AI-powered applications as well as the platforms and services that enable their development, deployment, and operation. • Integrate and optimize data systems including Postgres, Redis, and Elasticsearch to support high-performance AI and cybersecurity workloads. • Partner effectively with Product Management, DevOps, QA, and fellow developers to deliver solutions that meet both technical excellence and customer needs. • Take end-to-end ownership of major features or projects from design through deployment and monitoring, working with a high degree of autonomy. • Provide technical mentorship and guidance to less-experienced engineers, helping them grow their skills and deliver high-quality code. • Influence architecture and design decisions across multiple services or projects, ensuring scalability, reliability, and alignment with long-term product strategy. • Stay current with advances in Generative AI, cloud technologies, and cybersecurity, and bring forward ideas to keep the platform at the cutting edge. • Work with Kubernetes, CI/CD pipelines, event-driven systems, and large-scale data processing to deliver robust, reliable services.

• Design, develop, and maintain scalable software solutions for a Data Management Platform • Contribute to both backend and frontend development efforts • Collaborate with team members and client stakeholders to define technical solutions aligned with business requirements • Write clean, maintainable, and well-tested code following best engineering practices • Participate in code reviews, technical discussions, and continuous improvement initiatives • Support CI/CD pipelines and cloud deployments • Ensure quality through automated testing and a strong focus on reliability and performance

• Design, develop, and deploy scalable, high-performance, and production-grade backend services and distributed systems to support large-scale model inference. • Contribute significantly to the technical roadmap and design of our inference platform, focusing on low-latency, high-throughput services. • Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana. • Partner cross-functionally with data science, product, and engineering teams to align platform capabilities with strategic business goals. • Manage and optimize our cloud infrastructure (GCP) and orchestrate workloads with Kubernetes. • Promote and implement best practices for backend service development, testing, deployment, and monitoring (DevOps, SRE).