Senior Backend Engineer — ML Infrastructure (Remote)

Silversmith Capital Partners; New Jersey; On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Fully remote team

Work from home stipend

Apple laptops provided

Training and development budget

Maternity & Paternity leave

Stock options

Regular team offsites

Job summary

Constructor.io seeks a Senior Backend Engineer to own core services powering machine learning at scale. You will design, build, and operate high-load backend systems, collaborating with ML and product teams to deliver reliable platform capabilities.

The role emphasizes ownership, design-driven thinking, and proactive problem-solving in a fully remote environment. You will work with Python, cloud platforms, and modern AI tooling to maintain scalable APIs and data pipelines, while contributing to

Qualifications

• 5+ years of backend or platform engineering experience.
• Extensive Python knowledge.
• Experience on public cloud (AWS, GCP, or Azure) or self-managed Kubernetes.
• Experience designing distributed, high-load services and APIs.
• Strong knowledge of data structures and algorithms.
• Design-driven engineering mindset and use of modern AI tools.
• Ownership and proactive problem-solving.
• Friendly and collaborative attitude.

Responsibilities

• Design, build, and operate high-load distributed backend services powering ML infrastructure.
• Take end-to-end ownership of core ML services and data pipelines from design to deployment and observability.
• Partner with ML and product teams to translate needs into reliable platform capabilities.
• Make and defend technical decisions, balancing trade-offs and outcomes.
• Be accountable for what you and your team deliver.

Skills

Python

Distributed systems

APIs

AWS/GCP/Azure

Kubernetes

Data structures

Ownership

Teamwork

Tools

Terraform

Job description

Constructor.io seeks a Senior Backend Engineer to own core services powering machine learning at scale. You will design, build, and operate high-load backend systems, collaborating with ML and product teams to deliver reliable platform capabilities.

The role emphasizes ownership, design-driven thinking, and proactive problem-solving in a fully remote environment. You will work with Python, cloud platforms, and modern AI tooling to maintain scalable APIs and data pipelines, while contributing to