Senior Backend Engineer: Machine Learning Infrastructure

Constructor·Remote - EMEARemotesenior$6,667–$10,000 USD/mo

In short

→Ingeniero backend senior que construye e opera servicios de infraestructura para machine learning a gran escala.
→Trabajas en servicios distribuidos, pipelines de datos y plataformas auto-servicio para equipos de ML y producto.
→Destaca por tener propiedad total de servicios críticos y liderar decisiones técnicas con enfoque en diseño y fiabilidad.

No se requiere inglés, pero el puesto es completamente remoto y en inglés.

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What they ask for

✓5+ años de experiencia en ingeniería backend o de plataformas
✓Conocimiento avanzado de Python (lenguaje principal)
✓Experiencia práctica con nube pública (AWS, GCP, Azure) o Kubernetes autogestionado
✓Diseño y construcción de servicios distribuidos de alto rendimiento
✓Conocimiento sólido de estructuras de datos, algoritmos y sus trade-offs
✓Actitud proactiva y de propiedad: resuelves problemas y asumes responsabilidad por resultados

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonAWSKubernetesDistributed SystemsAPIsData PipelinesVector DatabasesModel ServingLLMsTerraform

Who should you write to at Constructor?

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About Us Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. About The Role The ML Infrastructure team builds and operates the shared backend services and platform capabilities that Constructor's ML and product teams rely on to develop, deploy, and run machine learning at scale - from model serving (including LLMs) to the specialized storages and data pipelines behind it. We are a service team by nature: our roadmap is shaped by the needs of product teams, and we succeed when they can move faster with less friction. We're looking for a Senior Backend Engineer who is comfortable with, and motivated by this dynamic, and who will take end-to-end ownership of core services. Requirements 5+ years of professional experience in backend or platform engineering Extensive Python knowledge (our primary language) Hands-on experience developing on a public cloud (AWS, GCP, or Azure) or with self-managed Kubernetes - AWS is our primary platform, but we're not limited to it Experience designing and building distributed, high-load services and APIs Strong knowledge of data structures, algorithms, and their trade-offs Design-driven engineering mindset: we're a coding-assistant-friendly environment and expect you to use modern AI tools - but you lead with system design and a strong understanding of their applicability and trade-offs Ownership and proactivity: you can't close your eyes to problems, but are ready to solve them and take responsibility for outcomes You are friendly and willing to help your teammates & others Nice to have: Experience with Rust (or C/C++/Go) - a strong plus Experience developing or contributing to ML platforms or ML infrastructure - a strong plus Experience setting up and operating any vector database (Qdrant, Milvus, Weaviate, OpenSearch, pgvector, etc.) - a strong plus Experience with model serving / inference infrastructure, including LLMs Experience with Infrastructure as Code (Terraform or similar) Benefits 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year 🌎 Fully remote team - choose where you live 🛋️ Work from home stipend! io we are committed to cultivating a work environment that is diverse, equitable, and inclusive.

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