Senior Backend Engineer, ML Infrastructure (Remote)

Lever, Inc.; Germany (OH); Remote; EUR 71,000 - 106,000; Full time

Benefits offered by this job

Fully remote work

Unlimited vacation

Home-office stipend

Apple laptop provided

Annual training budget

Parental leave

Stock options

Team offsites

Job summary

Lever, Inc. is seeking a Senior Backend Engineer: Machine Learning Infrastructure based in Germany. You will design and operate high-load backend services and data pipelines that support ML workloads and LLMs. The role emphasizes ownership, scalable design, and close collaboration with ML and product teams.

You will work in a remote-first environment with autonomy to evolve platform capabilities, ensuring observability, reliability, and performance across services used by ML teams.

Qualifications

• 5+ years of backend/platform engineering experience.
• Proficiency in Python and building distributed services.
• Experience with public clouds (AWS, GCP, Azure) or self-managed Kubernetes.

Responsibilities

• Design, build, deploy, and operate high-load distributed backend services and APIs for ML infra.
• Own core ML services and data pipelines end-to-end from design to deployment.
• Build scalable infrastructure components simplifying ML workloads for teams.

Skills

Backend engineering

Python

Cloud platforms

Distributed systems

System design

AI tooling

Ownership

Communication

Rust/C/C++/Go

ML platforms

Vector databases

LLMs

Terraform

Tools

Terraform

Kubernetes

Job description

Lever, Inc. is seeking a Senior Backend Engineer: Machine Learning Infrastructure based in Germany. You will design and operate high-load backend services and data pipelines that support ML workloads and LLMs. The role emphasizes ownership, scalable design, and close collaboration with ML and product teams.

You will work in a remote-first environment with autonomy to evolve platform capabilities, ensuring observability, reliability, and performance across services used by ML teams.