via LinkedIn
$120K - 150K a year
Build and manage cloud infrastructure, ML pipelines, and collaborate on architecture and design.
7+ years in infrastructure or development, experience with AWS CDK, TypeScript, Python, Databricks, MLFlow, Kubernetes, and ML workloads.
We’re hiring a Senior Platform Engineer for a full-time remote US role. They build a cloud platform that connects scientific instruments and data, enabling AI-driven analysis and collaboration. This is a unique chance to work with cutting-edge cloud and machine learning infrastructure, helping accelerate scientific discoveries. We’re looking for someone with strong infrastructure and development skills who wants to grow in a collaborative, flexible environment. Required Skills & Experience • 7+ years in infrastructure or development • AWS CDK, TypeScript, Python • Experience with Databricks, MLFlow, Kubernetes • Skilled with real-time and batch ML workloads • DSPy experience for LLM pipelines is a big plus Desired Skills & Experience • Cloud-native and automation experience • Familiarity with scientific or data platforms What You Will Be Doing Tech Breakdown • 40% AWS Cloud infrastructure • 30% ML pipeline management • 20% Kubernetes • 10% Coding (TypeScript/Python) Daily Responsibilities • 60% Hands-on engineering • 20% Team collaboration • 20% Architecture and design Posted By: Dylan Dudones
This job posting was last updated on 1/27/2026