Senior Backend Engineer: Machine Learning Infrastructure

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.

Key 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, evaluating trade‑offs and owning outcomes.

Required profile

• 5+ years of professional experience in backend or platform engineering.
• Extensive Python knowledge (primary language).
• Hands‑on experience developing on a public cloud (AWS, GCP, or Azure) or with self‑managed Kubernetes; AWS is primary.
• Experience designing and building distributed, high‑load services and APIs.
• Strong knowledge of data structures, algorithms, and their trade‑offs.
• Design‑driven engineering mindset; comfortable using modern AI tools while leading with system design.
• Ownership and proactivity; ready to solve problems and take responsibility for outcomes.
• Friendly and willing to help teammates.

Required skills

• Python
• AWS
• Kubernetes
• Terraform (Infrastructure as Code)
• Rust (or C/C++/Go)
• Vector databases (Qdrant, Milvus, Weaviate, OpenSearch, pgvector)
• Model serving / inference infrastructure, including LLMs

What we offer

• Unlimited vacation time (encouraged at least 3 weeks per year).
• Fully remote team – choose where you live.
• Work‑from‑home stipend for home office setup.
• Apple laptops provided for new employees.
• Training and development budget refreshed each year.
• Maternity & Paternity leave for qualified employees.
• Base salary $80k–$120k USD, depending on experience.
• Stock options in addition to base salary.
• Regular team offsites to connect and collaborate.