Rust Backend Engineer
hace 1 semana
Key Responsibilities:
- Design, build, and maintain cloud-native backend services in Rust that support AI model deployment, inference, lifecycle management, and monitoring.
- Develop robust APIs and orchestration components to manage deployment workflows.
- Architect low-latency, high-throughput inference services optimized for real-time AI applications running in the cloud.
- Integrate backend systems with model registries, data processing pipelines, and monitoring tools to provide a seamless end-to-end AI lifecycle.
- Collaborate closely with AI researchers, DevOps, and hardware teams to co-design scalable deployment pipelines tailored for cloud environments.
- Implement observability and telemetry systems to monitor model performance, availability, and cost efficiency.
- Work with both SQL and NoSQL databases to manage model metadata, logs, and large-scale inference results.
- Deploy, scale, and operate workloads on Kubernetes, ensuring high reliability, elasticity, and performance across cloud environments.
- Continuously evaluate and adopt new technologies in Rust, backend systems, and AI infrastructure to keep the platform state-of-the-art.
- BSc or MSc in Computer Science, Software Engineering, or a related field.
- 5+ years of proven experience in backend development, ideally building platforms, distributed systems, or AI/ML infrastructure.
- Strong proficiency in Rust, with experience building production-grade services.
- Experience developing backend services in Python is a strong plus.
- Solid understanding of API design, microservices architecture, distributed systems, and event-driven backends.
- Hands-on experience with databases (SQL and NoSQL) and scalable data storage solutions.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code practices.
- Experience with Kubernetes and container orchestration in production cloud environments is a strong plus.
- Experience building CI/CD pipelines for ML models or integrating with MLOps platforms (e.g., MLflow, Seldon, Kubeflow) is a plus.
- Knowledge of AI model deployment workflows and integrating inference systems with backend services is plus.
- Experience in a hardware/software co-design environment is a plus.
- Fluent in English; additional European languages (German, Dutch, Spanish, French, or Italian) are a plus.
- Self-driven and capable of working independently as well as within a highly collaborative team.
- Excellent system design and problem-solving skills, with a focus on reliability, scalability, and maintainability.
- Strong communication and collaboration skills across multidisciplinary teams.
- Eager to mentor junior engineers and contribute to a culture of technical excellence and learning.
- The opportunity to build a cloud AI deployment platform that will power next generation AI systems.
- A collaborative, innovation-driven environment with significant autonomy and ownership.
- Hybrid work model with flexible scheduling.
- A chance to join one of Europe's most ambitious companies at the intersection of AI and silicon engineering.
- Position based in Barcelona, Spain.
At Openchip & Software Technologies S.L., we believe a diverse and inclusive team is the key to groundbreaking ideas. We foster a work environment where everyone feels valued, respected, and empowered to reach their full potential-regardless of race, gender, ethnicity, sexual orientation, or gender identity.
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