Lead Platform Engineer

BioLM

WorldwideremotePosted 14 days ago

Skill Required

Platform-EngineeringFull-Stack-EngineeringBackend-EngineeringFrontend-EngineerCloud-Infrastructure-EngineeringLead-Platform-EngineerPlatform-Engineering-LeadLead-Platform-EngineeringSenior-Platform-Engineering-LeaderPlatform-Tech-LeadSenior-Platform-EngineerPrincipal-Platform-EngineerTechnical-Platform-LeadAI-ML-EngineerPlatform EngineerDesign PatternsEngineeringWebSocketNode.jsbuildingPythonDockerdesignReactCI/CDCloudAPIsAWSandCICDAIMachine LearningFulltime

Key highlights

Company: BioLM
Role: Lead Platform Engineer
Required experience: 5+ years full-stack engineering with production systems
Stack: Python, React/Node.js, AWS, Docker, CI/CD, relational data modeling, REST, WebSockets

Role overview

BioLM is building an AI platform for molecular discovery, enabling researchers to design and analyze biological sequences using state-of-the-art language models. The company is seeking a Lead Platform Engineer to own the architecture, development, and evolution of its core product platform, working directly with the founding team on high-leverage technical decisions while being accountable for the reliability, scalability, and quality of shipped products.

Responsibilities

Ship products and features with startup-caliber velocity and a high bar for quality
Lead the development of agentic workflows for molecular design and discovery
Build and extend platform UI features that enable researchers to create, manage, and deploy fine-tuned protein and DNA models
Integrate our Console, Builder, and Solutions apps into a seamless full-stack experience for molecular development
Build API integrations with sequence and assay ordering providers, including internal data modeling and full-stack UI development

Requirements

5+ years of full-stack engineering experience, with a track record of shipping production systems end-to-end, from infrastructure to user-facing interface
Led technical projects - scoped work, delegated effectively, and delivered on time
Designed and operated cloud infrastructure at scale
Built and maintained complex third-party integrations or API-driven systems
Brought product instincts and UI sensibility to ambiguous, early-stage problems
Deep proficiency in Python and React/Node.js
Strong command of cloud infrastructure (AWS or equivalent), CI/CD, and Docker
Solid understanding of relational data modeling and API design patterns
Experience with REST, WebSockets, and modern integration patterns including agentic/MCP-based systems
A good eye for UI design and the product thinking to match

Nice to have

Experience building tooling for scientific, research, or ML/AI-adjacent workflows
Familiarity with interactive data visualization (D3.js, Plotly, Vega-Lite)
Experience integrating or deploying large-scale ML model APIs or agentic AI systems
Background or genuine interest in biology, bioinformatics, or computational life sciences