**Location:** Remote, right to work and travel in Europe. At Albatross, we’re building the second pillar of AI: a perception layer that understands how users actually experience content, in real time. Trained on live user interactions, Albatross learns and reasons on the fly. Our technology powers real\-time, in\-session discovery by adapting to evolving user interests, in real\-time. We have raised significant funding and our platform already operates at scale, with billions of events being processed and hundreds of millions of predictions served. **The Role** The Principal Software Engineer will lead the design and development of real\-time AI personalization infrastructure. They will architect event\-driven systems that handle millions of requests with ultra\-low latency and collaborate with data science teams to scale machine learning models in production. More specifically: * Architect and design high\-performance, event\-driven backend systems handling millions of requests with ultra\-low latency. * Lead engineering initiatives: define requirements, set direction, and guide subteams from concept to delivery. * Build and optimize performance\-critical services for concurrency and memory efficiency. * Design and implement scalable event\-driven architectures using modern messaging platforms (NATS). * Continuously benchmark and tune systems to maintain sub\-millisecond response times. * Collaborate with cross\-functional teams to deliver high\-quality, performant software. * Shape long\-term technical strategy and roadmap to balance performance, scalability, and business goals. **Requirements** * 10\+ years of experience in software engineering, with a proven track record leading technical teams and delivering complex systems from design to deployment. * Strong understanding of system design, scalability, and performance optimization. * Proficiency in one or more languages such as TypeScript, Rust, Python, or Javascript, Go, Scala, Java, or Ruby. * Strong background in DevOps and cloud infrastructure: Kubernetes, AWS, GCP, Terraform, Docker. * Strong communication skills in English. * Bonus points if familiarity with machine learning frameworks (e.g., PyTorch) and production deployment. **Benefits** * Flexibility to work from anywhere across Europe.