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TetraScience · 1 day ago

Lead Platform Engineer

United States

Full-time

Remote

Lead/Staff

10+ years exp

TetraScience is the Scientific Data and AI company, catalyzing the Scientific AI revolution with innovative lab data management solutions. The Lead Platform Engineer will be responsible for evolving and scaling the cloud-native Tetra data platform to accommodate significant growth in data volume and user demand, while collaborating with various teams to ensure performance and reliability.

BiotechnologyData IntegrationData ManagementInternet of ThingsLife SciencePharmaceuticalSoftware

Growth Opportunities

No H1B

Responsibilities

Architect and evolve our cloud-native platform infrastructure to support high-throughput, low-latency data processing patterns, customer-facing features, and design platform to meet scalability requirements

Design scalable, distributed systems powering complex capabilities such as authentication & authorization, data lifecycle management, search infrastructure, operational intelligence, and real-time event processing

Proactively analyze platform performance and scalability; identify potential constraints and define strategies that enable both continuous and step-function growth

Collaborate with engineering and product teams to deliver infrastructure that supports new services, customer-facing applications, and high-volume data processing workloads

Build and maintain infrastructure-as-code (e.g., CloudFormation, AWS CDK) to automate, standardize, and secure deployments to support online upgrades and on-demand infrastructure allocation

Enhance observability and monitoring to ensure reliability, cost efficiency, and rapid incident response

Champion best practices in distributed systems design, scalability, and performance optimization, and share architectural insights through design reviews and technical documentation

Qualification

Cloud-native systemsDistributed systems designAWS cloud servicesInfrastructure-as-codeAPI-first designTypeScriptPythonObservability best practicesCollaboration skillsCommunication skills

Required

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