Lead Platform Engineer

Job not on LinkedIn

July 16

Apply Now
Logo of TetraScience

TetraScience

Artificial Intelligence • Biotechnology • SaaS

TetraScience is a company dedicated to transforming raw scientific data into AI-native datasets for advanced scientific applications. By collaborating closely with leading biopharmaceutical companies, TetraScience enhances productivity, accelerates insights, and ensures data integrity across the scientific value chain. Their platform offers solutions for next-generation lab data management, AI-driven scientific outcomes, and compliance with industry standards. As the first company to provide a data and AI cloud built specifically for science, TetraScience enables its clients to liberate, unify, and transform their data, overcoming traditional data silos and boosting scientific productivity by providing a flexible, open, and collaborative infrastructure.

📋 Description

• 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. • TetraScience is the category leader in this vital new market. • You will play a critical role in evolving and scaling our cloud-native Tetra data platform to handle 100× growth in data volume and user demand. • You’ll partner with engineering, data, and AI teams to design scalable architectures. • Anticipate and mitigate scaling challenges, ensuring our platform remains performant, reliable, and cost-efficient as it grows. • This is a highly impactful role for an engineer who’s passionate about distributed systems.

🎯 Requirements

• 10+ years of hands-on experience in software and infrastructure engineering, with a proven track record of designing, building, and scaling distributed, cloud-native systems in production environments. • Demonstrated experience as a technical leader or architect, making key decisions on system design, scalability, performance, and cost optimization. • Strong proficiency in API-first design, including REST, GraphQL, and OpenAPI specifications designing APIs that are scalable, secure, versioned, and extensible. • Strong proficiency in TypeScript and Python, with a focus on building highly performant backend services. • Expertise in AWS cloud services and architecture, including deep experience with core services (e.g., EC2, Lambda, ECS/EKS, IAM, S3) and advanced data and messaging tools such as SQS, Kinesis, Kafka, and EventBridge. • Expert knowledge of infrastructure-as-code frameworks such as CloudFormation and CDK, CI/CD pipelines, and strong opinions on production deployment strategy across dozens of platforms. • Solid understanding of observability best practices, including monitoring, alerting, and distributed tracing for SLI/SLO/SLA design. • Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members. • Strong collaboration skills and the ability to partner effectively with cross-functional teams.

🏖️ Benefits

• 100% employer-paid benefits for all eligible employees and immediate family members • Unlimited paid time off (PTO) • 401K • Flexible working arrangements - Remote work • Company paid Life Insurance, LTD/STD • A culture of continuous improvement where you can grow your career and get coaching

Apply Now

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