Lead Platform Engineer - Remote

Overview

TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.

In Short

• Play a critical role in evolving and scaling the cloud-native Tetra data platform.
• Partner with engineering, data, and AI teams to design scalable architectures.
• Anticipate and mitigate scaling challenges.
• Ensure platform remains performant, reliable, and cost-efficient.
• Architect cloud-native infrastructure for massive growth.
• Design scalable distributed systems for complex capabilities.
• Analyze platform performance and define growth strategies.
• Collaborate with teams to deliver infrastructure for new services.
• Build and maintain infrastructure-as-code for secure deployments.
• Champion best practices in distributed systems design.

Requirements

• Experience with cloud-native platforms and distributed systems.
• Strong understanding of scalability and performance optimization.
• Proficiency in infrastructure-as-code tools like CloudFormation or AWS CDK.
• Ability to analyze and enhance platform performance.
• Experience in designing and implementing complex capabilities.
• Strong collaboration skills with engineering and product teams.
• Passion for solving complex scalability problems.
• Experience in monitoring and observability practices.
• Strong technical documentation skills.
• Ability to work in a fast-paced, innovative environment.

Benefits

• Opportunity to work at a leading company in Scientific AI.
• Collaborative and innovative work environment.
• Engagement in impactful projects with significant growth potential.
• Work alongside talented professionals in the field.
• Competitive salary and benefits package.