Constructor - Senior Backend Engineer: Machine Learning Infrastructure
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 • 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)
Responsibilities
• Design, build, and operate high-load distributed backend services that power the company's ML infrastructure • Take end-to-end ownership of core ML services and related data pipelines: from design and implementation to deployment, observability, and continuous improvement • Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities • Make and defend technical decisions: evaluate trade-offs, design first, and own the outcome • Be responsible for what you and your team do
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! We want you to have the resources you need to set up your home office • 💻 Apple laptops provided for new employees • 🧑🎓 Training and development budget for every employee, refreshed each year • 👪 Maternity & Paternity leave for qualified employees • 🧠 Work with smart people who will help you grow and make a meaningful impact • 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results • 📈 Stock options - offered in addition to the base salary • 🎉 Regular team offsites to connect and collaborate • Diversity, Equity, and Inclusion at Constructor
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