Principal Software Engineer

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.

• 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.

• Flexibility to work from anywhere across 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.