Senior Backend Engineer - ML Infrastructure, Remote

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

Benefits offered by this job

Unlimited vacation

Fully remote team

Home office stipend

Apple laptops provided

Training budget

Parental leave

Team offsites

Stock options

Job summary

Constructor.io is seeking a Senior Backend Engineer to own core ML infrastructure services, from design to production, enabling ML and product teams to move fast with reliability and scale. You will design, build, and operate high-load distributed backends in Python, leverage public cloud platforms, and collaborate across ML and product squads to create reusable platform capabilities.

This fully remote role offers stock options, a home office stipend, and a culture of continuous learning and

Qualifications

• 5+ years of professional backend or platform engineering experience.
• Proficient in Python.
• Experience with public cloud (AWS, GCP, or Azure) or Kubernetes.
• Designing distributed high-load services and APIs.
• Strong knowledge of data structures and algorithms.
• Design-driven engineering mindset with ownership.
• Willingness to help teammates and collaborate.

Responsibilities

• Design, build, and operate high-load distributed backend services powering ML infrastructure.
• Take end-to-end ownership of core ML services and related data pipelines.
• Collaborate with ML and product teams to deliver reliable platform capabilities.
• Make and defend technical decisions with emphasis on reliability and performance.
• Be proactive and accountable for outcomes and team success.

Skills

5+ years backend

Python

Cloud platforms

Distributed systems

Data structures & algorithms

Ownership

Collaboration

Kubernetes

Tools

Terraform

Job description

Constructor.io is seeking a Senior Backend Engineer to own core ML infrastructure services, from design to production, enabling ML and product teams to move fast with reliability and scale. You will design, build, and operate high-load distributed backends in Python, leverage public cloud platforms, and collaborate across ML and product squads to create reusable platform capabilities.

This fully remote role offers stock options, a home office stipend, and a culture of continuous learning and