
51 - 200 funcionários
Fundada em 2015
🏥 Saúde
💼 Consultoria
📦 Logística
Healthcare • Consulting • Logistics
A TetraScience é uma empresa dedicada a transformar dados científicos brutos em conjuntos de dados nativos de IA para aplicações científicas avançadas. Ao colaborar estreitamente com as principais empresas biofarmacêuticas, a TetraScience aumenta a produtividade, acelera insights e garante a integridade dos dados em toda a cadeia de valor científica. Sua plataforma oferece soluções para gerenciamento de dados de laboratório de próxima geração, resultados científicos impulsionados por IA e conformidade com os padrões da indústria. Como a primeira empresa a fornecer um cloud de dados e IA construído especificamente para a ciência, a TetraScience permite que seus clientes liberem, unifiquem e transformem seus dados, superando silos de dados tradicionais e impulsionando a produtividade científica ao oferecer uma infraestrutura flexível, aberta e colaborativa.
🕒 Junho 5
🏄 California, Massachusetts – Remoto
⏰ Tempo Integral
🟠 Sênior
🏗️ Engenheiro de Plataforma
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
Fundada em 2015
🏥 Saúde
💼 Consultoria
📦 Logística
Healthcare • Consulting • Logistics
A TetraScience é uma empresa dedicada a transformar dados científicos brutos em conjuntos de dados nativos de IA para aplicações científicas avançadas. Ao colaborar estreitamente com as principais empresas biofarmacêuticas, a TetraScience aumenta a produtividade, acelera insights e garante a integridade dos dados em toda a cadeia de valor científica. Sua plataforma oferece soluções para gerenciamento de dados de laboratório de próxima geração, resultados científicos impulsionados por IA e conformidade com os padrões da indústria. Como a primeira empresa a fornecer um cloud de dados e IA construído especificamente para a ciência, a TetraScience permite que seus clientes liberem, unifiquem e transformem seus dados, superando silos de dados tradicionais e impulsionando a produtividade científica ao oferecer uma infraestrutura flexível, aberta e colaborativa.
• Architect and evolve our cloud-native platform and services 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, metadata management, operational intelligence, and real-time event processing. • Evolve the authorization service toward modern identity standards and customer-configurable, fine-grained access models that scale without a release for every new role including authorization for non-human identities (service-to-service, AI agents, MCP-based tooling). • Built systems that capture and enforce structured metadata at ingest and serve it through clean service contracts; understands where platform metadata plumbing ends and the semantic/ontology layer begins, and collaborates well across that boundary. • Build governance primitives for a regulated environment — compliance-grade audit trail, dataset-level access controls, and approval / eSignature workflows. • 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.
• 10+ years of hands-on software engineering, with a proven track record of designing, building, and scaling distributed, cloud-native backend services and platforms in production. • 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.
• 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
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