Backend engineer in ML infrastructure

Constructor; United States; Remote; USD 80,000 - 120,000; Full time

Benefits offered by this job

Remote work

Home office stipend

Laptops provided

Stock options

Training & development budget

Job summary

Constructor is seeking a Backend/Platform Engineer to design, build, and operate high‑load distributed services powering the company’s ML infrastructure. You will own core ML services end-to-end—from design and deployment to observability—while partnering with ML and product teams to deliver reliable platform capabilities.

Ideal candidates have 5+ years of backend experience, strong Python, and hands-on cloud or Kubernetes expertise, with a design‑driven mindset and ownership ethos.

Qualifications

• 5+ years of professional backend or platform engineering experience.
• Extensive Python knowledge (primary language).
• Hands-on experience with public clouds (AWS, GCP, or Azure) or self-managed Kubernetes.

Responsibilities

• Design, build, and operate high-load distributed backend services powering ML infrastructure.
• Own end-to-end ML services and data pipelines from design to deployment and observability.
• Collaborate with ML and product teams to build reliable platform capabilities.

Skills

Python

Cloud platforms

Distributed systems

System design

Ownership

Teamwork

Rust

Tools

Kubernetes

Terraform

Job description

Описание

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. 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.

Задачи

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

Требования

• 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
• Будет плюсом: 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)

Условия

• 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